W świecie, w którym dane są nowym złotem, umiejętność ich analizowania staje się niezbędna. W Helion rozumiemy tę potrzebę i oferujemy Ci bogaty wybór książek poświęconych analizie danych. Nasze publikacje są przeznaczone zarówno dla początkujących, którzy chcą zrozumieć podstawy analizy danych, jak i dla zaawansowanych analityków poszukujących głębszej wiedzy w tej dziedzinie.
Analiza danych
Książki, ebooki, audiobooki, kursy video z kategorii: Analiza danych dostępne w księgarni Helion
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pandas is a popular Python library used by data scientists and analysts worldwide to manipulate and analyze their data. This book presents useful techniques and real-world examples on getting the most out of pandas for expert-level data manipulation, analysis and visualization.
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Mastering pandas. A complete guide to pandas, from installation to advanced data analysis techniques - Second Edition Mastering pandas. A complete guide to pandas, from installation to advanced data analysis techniques - Second Edition
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Elasticsearch is one of the most popular tools for distributed search. This book will help you in understanding all about the new features of Elasticsearch 7, and how to use them efficiently for searching, aggregating and indexing data with speed and accuracy.
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Elasticsearch 7 Quick Start Guide. Get up and running with the distributed search and analytics capabilities of Elasticsearch Elasticsearch 7 Quick Start Guide. Get up and running with the distributed search and analytics capabilities of Elasticsearch
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In the R Bioinformatics Cookbook, you encounter common and not-so-common challenges in the bioinformatics domain and solve them using real-world examples. The book guides you through varied bioinformatics analysis, from raw data to clean results. It shows you how to import, explore and evaluate your data and how to report it.
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R Bioinformatics Cookbook. Use R and Bioconductor to perform RNAseq, genomics, data visualization, and bioinformatic analysis R Bioinformatics Cookbook. Use R and Bioconductor to perform RNAseq, genomics, data visualization, and bioinformatic analysis
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This book teaches everything you need to know to jumpstart your own software architecture documentation. Through several elaborate examples, you’ll learn how to write useful documentation that clearly explains the architecture of your software.
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arc42 by Example. Software architecture documentation in practice arc42 by Example. Software architecture documentation in practice
Dr. Gernot Starke, Michael Simons, Stefan Zörner, Ralf D. Müller
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AI in AWS covers primarily two broad topics – a) how to leverage readily available AI/ML APIs and b) how to build, train and deploy ML models from scratch, to solve diverse business problems, such as demand forecasting, image classification, topic modeling, speech and text recognition.By the end of the book, you will have learned how to buil
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Hands-On Artificial Intelligence on Amazon Web Services. Decrease the time to market for AI and ML applications with the power of AWS Hands-On Artificial Intelligence on Amazon Web Services. Decrease the time to market for AI and ML applications with the power of AWS
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Since the internet of things is on the rise, and mega-companies like Microsoft have projected to spend around 5 billion for IoT in the coming years, acquired talent in this domain definitely needs to have MQTT knowledge for building IoT projects. This book will help you leverage the power of MQTT to build exciting IoT projects
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Hands-On Internet of Things with MQTT. Build connected IoT devices with Arduino and MQ Telemetry Transport (MQTT) Hands-On Internet of Things with MQTT. Build connected IoT devices with Arduino and MQ Telemetry Transport (MQTT)
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What exactly is a developer advocate, and how do they connect developers and companies around the world? Why is the area of developer relations about to explode? What are the hot topics in areas including Java, JavaScript, “tech for good”, artificial intelligence, blockchain, the cloud, and open source?These are just a few of the ques
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Developer, Advocate!. Conversations on turning a passion for talking about tech into a career Developer, Advocate!. Conversations on turning a passion for talking about tech into a career
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SAS is one of the leading enterprise tools in the world today when it comes to data management and analysis. It allows for faster, easier processing of data and empowers you to get valuable business insights for effective decision-making. This book will serve as a comprehensive guide you can refer to while preparing for your SAS certification exam.
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Hands-On SAS For Data Analysis. A practical guide to performing effective queries, data visualization, and reporting techniques Hands-On SAS For Data Analysis. A practical guide to performing effective queries, data visualization, and reporting techniques
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Hands-on Application Development with PyCharm addresses the modern-age enterprise application development concerns and how to solve them using a variety of features and functionalities available in PyCharm. This book will help you master the art of developing and delivering production-ready and real-world python applications to your clients.
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Hands-On Application Development with PyCharm. Accelerate your Python applications using practical coding techniques in PyCharm Hands-On Application Development with PyCharm. Accelerate your Python applications using practical coding techniques in PyCharm
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Binary Analysis is a complex and constantly evolving topic, crossing into several realms of IT and information security. The recipes in this book will serve as a good reference for you to get a better understanding of various aspects related to analyzing malware, identifying vulnerabilities in code, exploit writing and reverse engineering.
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Binary Analysis Cookbook. Actionable recipes for disassembling and analyzing binaries for security risks Binary Analysis Cookbook. Actionable recipes for disassembling and analyzing binaries for security risks
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This book will help you bring business intelligence capabilities using Power BI in order to make smarter decisions. You will learn data modeling, visualizations, and analytical capabilities from scratch using hands-on examples. By the end of this book, you will learn the extensive features of Power BI and how to use them to unlock business insights
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Learn Power BI. A beginner's guide to developing interactive business intelligence solutions using Microsoft Power BI Learn Power BI. A beginner's guide to developing interactive business intelligence solutions using Microsoft Power BI
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SQL for Data Analytics teaches everything you need to know to progress from basic SQL to identifying trends and creating compelling narratives with data. With this book, you will be able to look at data with the critical eye of an analytics professional and extract meaningful insights that will improve your business.
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SQL for Data Analytics. Perform fast and efficient data analysis with the power of SQL SQL for Data Analytics. Perform fast and efficient data analysis with the power of SQL
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Promocja
Developers often struggle when first encountering the cloud. Learning about distributed systems, becoming familiar with technologies such as containers and functions, and knowing how to put everything together can be daunting. With this practical guide, you’ll get up to speed on patterns for building cloud native applications and best practic- ePub + Mobi pkt
Cloud Native. Using Containers, Functions, and Data to Build Next-Generation Applications Cloud Native. Using Containers, Functions, and Data to Build Next-Generation Applications
(186,15 zł najniższa cena z 30 dni)
186.15 zł
219.00 zł(-15%) -
The Go ecosystem comprises some really powerful Deep Learning tools. This book shows you how to use these tools to train and deploy scalable Deep Learning models. You will explore a number of modern Neural Network architectures such as CNNs, RNNs, and more. By the end, you will be able to train your own Deep Learning models from scratch, using the
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Hands-On Deep Learning with Go. A practical guide to building and implementing neural network models using Go Hands-On Deep Learning with Go. A practical guide to building and implementing neural network models using Go
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This book will be a handy guide to quickly learn pandas and understand how it can empower you in the exciting world of data manipulation, analysis, and data science. You will learn how to use pandas to perform numeric and statistical analysis using real-world examples. You will also visualize statistical data and apply pandas to different domains.
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Hands-On Data Analysis with Pandas. Efficiently perform data collection, wrangling, analysis, and visualization using Python Hands-On Data Analysis with Pandas. Efficiently perform data collection, wrangling, analysis, and visualization using Python
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This book introduces basic-to-advanced deep learning algorithms used in a production environment by AI researchers and principal data scientists; it explains algorithms intuitively, including the underlying math, and shows how to implement them using popular Python-based deep learning libraries such as TensorFlow.
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Hands-On Deep Learning Algorithms with Python. Master deep learning algorithms with extensive math by implementing them using TensorFlow Hands-On Deep Learning Algorithms with Python. Master deep learning algorithms with extensive math by implementing them using TensorFlow
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Web scraping is an essential technique used in many organizations to scrape valuable data from web pages. This book will help you master web scraping techniques and methodologies using Python libraries and other popular tools such as Selenium. By the end of this book, you will have learned how to efficiently scrape different websites.
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Hands-On Web Scraping with Python. Perform advanced scraping operations using various Python libraries and tools such as Selenium, Regex, and others Hands-On Web Scraping with Python. Perform advanced scraping operations using various Python libraries and tools such as Selenium, Regex, and others
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This book will provide you an overview of Deep Learning techniques to facilitate the analytics and learning in various IoT apps. We will take you through each process - from data collection, analysis, modeling, statistics, and monitoring. We will make IoT data speak with a set of popular frameworks, like TensorFlow, TensorFlow Lite, and Chainer.
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Hands-On Deep Learning for IoT. Train neural network models to develop intelligent IoT applications Hands-On Deep Learning for IoT. Train neural network models to develop intelligent IoT applications
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Promocja
Perform data analysis with R quickly and efficiently with more than 275 practical recipes in this expanded second edition. The R language provides everything you need to do statistical work, but its structure can be difficult to master. These task-oriented recipes make you productive with R immediately. Solutions range from basic tasks to input and- ePub + Mobi pkt
R Cookbook. Proven Recipes for Data Analysis, Statistics, and Graphics. 2nd Edition R Cookbook. Proven Recipes for Data Analysis, Statistics, and Graphics. 2nd Edition
(211,65 zł najniższa cena z 30 dni)
220.15 zł
259.00 zł(-15%) -
This book introduces you to time series analysis and forecasting with R; this is one of the key fields in statistical programming and includes techniques for analyzing data to extract meaningful insights. You will explore methods, such as prediction with time series analysis, and identify the relationship between each data point in the series.
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Hands-On Time Series Analysis with R. Perform time series analysis and forecasting using R Hands-On Time Series Analysis with R. Perform time series analysis and forecasting using R
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Hands-On Exploratory Data Analysis with R puts the complete process of exploratory data analysis into a practical demonstration in one nutshell. You will understand the concepts of data analysis right from data ingestion, data cleaning, data manipulation to applying statistical techniques and visualizing hidden patterns.
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Hands-On Exploratory Data Analysis with R. Become an expert in exploratory data analysis using R packages Hands-On Exploratory Data Analysis with R. Become an expert in exploratory data analysis using R packages
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This book will help you leverage the power of data analysis and apply it to location and geospatial data to gain interesting insights. It presents useful tools and location intelligence techniques in Python to implement geospatial analytics from scratch.
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Geospatial Data Science Quick Start Guide. Effective techniques for performing smarter geospatial analysis using location intelligence Geospatial Data Science Quick Start Guide. Effective techniques for performing smarter geospatial analysis using location intelligence
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This book will help you perform effective data analysis with Scala using practical examples. You will come across different challenges and their effective solutions for a variety of data processing tasks - be it data exploration, data manipulation, or real-time data analysis using Apache Spark.
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Hands-On Data Analysis with Scala. Perform data collection, processing, manipulation, and visualization with Scala Hands-On Data Analysis with Scala. Perform data collection, processing, manipulation, and visualization with Scala
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This book explains the essential learning algorithms used for deep and shallow architectures. Packed with practical implementations to help you understand the concepts and ideas required to build efficient artificial intelligence systems, this book will help you construct deep models using popular frameworks and datasets.
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Hands-On Deep Learning Architectures with Python. Create deep neural networks to solve computational problems using TensorFlow and Keras Hands-On Deep Learning Architectures with Python. Create deep neural networks to solve computational problems using TensorFlow and Keras
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This book will give you an in-depth view of the potential of deep learning and neural networks in game development. You will also learn to use neural nets combined with reinforcement learning for new types of game AI.
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Hands-On Deep Learning for Games. Leverage the power of neural networks and reinforcement learning to build intelligent games Hands-On Deep Learning for Games. Leverage the power of neural networks and reinforcement learning to build intelligent games
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Natural Language Processing Fundamentals starts with basics and goes on to explain various NLP tools and techniques that equip you with all that you need to solve common business problems for processing text.
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Natural Language Processing Fundamentals. Build intelligent applications that can interpret the human language to deliver impactful results Natural Language Processing Fundamentals. Build intelligent applications that can interpret the human language to deliver impactful results
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With this book, you will learn to execute a series of intermediate to advanced statistical tasks as you walk through each chapter. You will not only get well versed with the traditional statistics but you will also cover the necessary statistics required for machine learning and deep learning concepts.
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R Statistics Cookbook. Over 100 recipes for performing complex statistical operations with R 3.5 R Statistics Cookbook. Over 100 recipes for performing complex statistical operations with R 3.5
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TensorFlow is one of the most popular machine learning frameworks in Python. With this book, you will improve your knowledge of some of the latest TensorFlow features and will be able to perform supervised and unsupervised machine learning and also train neural networks.
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TensorFlow 2.0 Quick Start Guide. Get up to speed with the newly introduced features of TensorFlow 2.0 TensorFlow 2.0 Quick Start Guide. Get up to speed with the newly introduced features of TensorFlow 2.0
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This book will be an excellent resource for both Python and R developers and will help them apply data science and machine learning to marketing with real-world data sets. By the end of this book, you will be well equipped with the required knowledge and expertise to draw insights from data and improve your marketing strategies.
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Hands-On Data Science for Marketing. Improve your marketing strategies with machine learning using Python and R Hands-On Data Science for Marketing. Improve your marketing strategies with machine learning using Python and R
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This book is ideal for people wanting to get up-and-running with the core concepts of machine learning using R 3.5. This book follows a step-by-step approach to implementing an end-to-end pipeline, addressing data collection and processing, various types of data analysis, and machine learning use cases.
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Machine Learning with R Quick Start Guide. A beginner's guide to implementing machine learning techniques from scratch using R 3.5 Machine Learning with R Quick Start Guide. A beginner's guide to implementing machine learning techniques from scratch using R 3.5
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In this book, you'll learn to implement some practical and proven techniques to improve aspects of programming and administration in Apache Spark. Techniques are demonstrated using practical examples and best practices. You will also learn how to use Spark and its Python API to create performant analytics with large-scale data.
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Hands-On Big Data Analytics with PySpark. Analyze large datasets and discover techniques for testing, immunizing, and parallelizing Spark jobs Hands-On Big Data Analytics with PySpark. Analyze large datasets and discover techniques for testing, immunizing, and parallelizing Spark jobs
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Cognitive Toolkit is one of the most popular and recently open sourced deep learning toolkit by Microsoft. Cognitive Toolkit is used to train fast and effective deep learning models. This book will be a quick introduction to using Cognitive Toolkit and will teach you how to train and validate different types of neural networks.
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Deep Learning with Microsoft Cognitive Toolkit Quick Start Guide. A practical guide to building neural networks using Microsoft's open source deep learning framework Deep Learning with Microsoft Cognitive Toolkit Quick Start Guide. A practical guide to building neural networks using Microsoft's open source deep learning framework
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Starting with the basics, Applied Unsupervised Learning with R explains clustering methods, distribution analysis, data encoders, and all features of R that enable you to understand your data better and get answers to all your business questions.
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Applied Unsupervised Learning with R. Uncover hidden relationships and patterns with k-means clustering, hierarchical clustering, and PCA Applied Unsupervised Learning with R. Uncover hidden relationships and patterns with k-means clustering, hierarchical clustering, and PCA
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Tableau 2019 is the gold standard of business intelligence and visual analytics. It empowers rapid data visualization and advanced analytics with charts, graphs, dashboards, and powerful analytic tools. This book lays a strong foundation of the Tableau paradigm and builds to advanced topics, including Tableau Prep, to make you an expert.
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Learning Tableau 2019. Tools for Business Intelligence, data prep, and visual analytics - Third Edition Learning Tableau 2019. Tools for Business Intelligence, data prep, and visual analytics - Third Edition
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The book will help you build effective business intelligence dashboards using the latest features of QlikView. You will create different types of visualizations such as bar charts, interactive plots, and more. With this book, you will learn how to gain actionable insights from your data and communicate them across to relevant stakeholders in the be
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Hands-On Dashboard Development with QlikView. Practical guide to creating interactive and user-friendly business intelligence dashboards Hands-On Dashboard Development with QlikView. Practical guide to creating interactive and user-friendly business intelligence dashboards
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Data is the new oil, but it comes crude. To do anything meaningful - modeling, visualization, machine learning, for predictive analysis – you first need to wrestle and wrangle with data. Data Wrangling with Python teaches you the essentials that will get you up and running with data wrangling in no time.
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Data Wrangling with Python. Creating actionable data from raw sources Data Wrangling with Python. Creating actionable data from raw sources
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This book is an excellent entry-level guide for all aspiring Qlik Sense developers to create applications in Qlik Sense Desktop to obtain daily insights at work. You'll be able to implement what you've learned to overcome in day-to-day stumbling blocks faced in the BI domain.
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Hands-On Business Intelligence with Qlik Sense. Implement self-service data analytics with insights and guidance from Qlik Sense experts Hands-On Business Intelligence with Qlik Sense. Implement self-service data analytics with insights and guidance from Qlik Sense experts
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In this book, you will learn how to use Chart.js, based on open Web standards, through a series of step-by-step tutorials and simple real-world examples to build interactive and responsive Web-based visualizations for your data. You will learn how to load and parse external data formats like CSV and JSON, and create different types of charts.
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Learn Chart.js. Create interactive visualizations for the Web with Chart.js 2 Learn Chart.js. Create interactive visualizations for the Web with Chart.js 2
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This is a comprehensive guide to understand advanced concepts of Hadoop ecosystem. You will learn how Hadoop works internally, and build solutions to some of real world use cases. Finally, you will have a solid understanding of how components in the Hadoop ecosystem are effectively integrated to implement a fast and reliable Big Data pipeline
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Mastering Hadoop 3. Big data processing at scale to unlock unique business insights Mastering Hadoop 3. Big data processing at scale to unlock unique business insights
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The SAP BusinessObjects Business Intelligence platform is a powerful reporting and analysis tool. This book is the ideal introduction to the SAP BusinessObjects Business Intelligence platform, introducing you to its data visualization, visual analytics, reporting, and dashboarding capabilities.
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SAP Business Intelligence Quick Start Guide. Actionable business insights from the SAP BusinessObjects BI platform SAP Business Intelligence Quick Start Guide. Actionable business insights from the SAP BusinessObjects BI platform
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This book is for Python developers to implement various components of end-to-end decentralized applications such as cryptocurrencies, smart contracts, wallet and more. You will use the example-based approach using various libraries from Python ecosystem to build efficient and powerful blockchain applications at work or projects.
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Hands-On Blockchain for Python Developers. Gain blockchain programming skills to build decentralized applications using Python Hands-On Blockchain for Python Developers. Gain blockchain programming skills to build decentralized applications using Python
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Deep Learning is a subset of Machine Learning where data sets with several layers of complexity can be processed. This book teaches you the different techniques using which deep learning solutions can be implemented at scale, on Apache Spark. This will help you gain experience of implementing your deep learning models in many real-world use cases.
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Hands-On Deep Learning with Apache Spark. Build and deploy distributed deep learning applications on Apache Spark Hands-On Deep Learning with Apache Spark. Build and deploy distributed deep learning applications on Apache Spark
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Elastic has announced the integration of Prelert machine learning technology within its ecosystem allowing real-time generation of business insights from the Elasticsearch data without it leaving the cluster at all. This book will demonstrate these unique features and teach you to perform machine learning on the Elastic Stack without any hassle.
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Machine Learning with the Elastic Stack. Expert techniques to integrate machine learning with distributed search and analytics Machine Learning with the Elastic Stack. Expert techniques to integrate machine learning with distributed search and analytics
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Machine learning is a field of AI where we build systems that learn from data. This book explains complicated concepts with real-world applications. It demonstrates the power of R and machine learning extensively while highlighting the constraints. Finally, it will walk you through topics such as text analysis, time series, and deep learning.
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Mastering Machine Learning with R. Advanced machine learning techniques for building smart applications with R 3.5 - Third Edition Mastering Machine Learning with R. Advanced machine learning techniques for building smart applications with R 3.5 - Third Edition
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Apache Spark is a ?exible in-memory framework that allows processing of both batch and real-time data. Its unified engine has made it quite popular for big data use cases. This book will help you to quickly get started with Apache Spark 2.0 and write efficient big data applications for a variety of use cases.
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Apache Spark Quick Start Guide. Quickly learn the art of writing efficient big data applications with Apache Spark Apache Spark Quick Start Guide. Quickly learn the art of writing efficient big data applications with Apache Spark
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In this book, we will use different complexities of datasets in order to build end-to-end projects. With every chapter, the level of complexity and operations will become advanced. It consists of 8 full-fledged projects covering approaches such as 3D-GAN, Age-cGAN, DCGAN, SRGAN, StackGAN, and CycleGAN with real-world use cases.
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Generative Adversarial Networks Projects. Build next-generation generative models using TensorFlow and Keras Generative Adversarial Networks Projects. Build next-generation generative models using TensorFlow and Keras
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The book will help you get well-versed with different techniques in Artificial Intelligence such as machine learning, deep learning, natural language processing and more to build smart IoT systems. By the end of the book, you will have practical knowledge on how to implement and manipulate text, audio, and speech data within the IoT system.
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Hands-On Artificial Intelligence for IoT. Expert machine learning and deep learning techniques for developing smarter IoT systems Hands-On Artificial Intelligence for IoT. Expert machine learning and deep learning techniques for developing smarter IoT systems
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Machine learning involves development and training of models used to predict future outcomes. This book is a practical guide to all the tips and tricks related to machine learning. It includes hands-on, easy to access techniques on topics like model selection, performance tuning, training neural networks, time series analysis and a lot more.
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Machine Learning Quick Reference. Quick and essential machine learning hacks for training smart data models Machine Learning Quick Reference. Quick and essential machine learning hacks for training smart data models
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Kibana is the visualization tool of the Elastic Stack, used for visualizing the results of the queries as well the dashboards generated out of the Elasticsearch and Logstash components. This book contains core concepts of Kibana with a straightforward form of chapters so that reader can move forward in a step by step manner.
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Kibana 7 Quick Start Guide. Visualize your Elasticsearch data with ease Kibana 7 Quick Start Guide. Visualize your Elasticsearch data with ease
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Businesses, right from small-sized to large giants are using MySQL to access and manipulate their enterprise database across the world. Advanced MySQL 8 will be your one-stop destination in how to implement and manage large-scale MySQL distributed clusters to run high-volume websites, enterprise systems, and packaged software.
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Advanced MySQL 8. Discover the full potential of MySQL and ensure high performance of your database Advanced MySQL 8. Discover the full potential of MySQL and ensure high performance of your database
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The science of gathering and extracting information from data-intensive applications bring in the challenge of writing complex libraries and efficient programs using high level languages like Python, R, so on. This book aims to explore the power of Unix-styled scripting tools like awk, bash, grep and package them as highly efficient built-in progra
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Hands-On Data Science with the Command Line. Automate everyday data science tasks using command-line tools Hands-On Data Science with the Command Line. Automate everyday data science tasks using command-line tools
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Explore recipes for analysis, visualization, and more with the Tableau 2019.x Cookbook. You’ll cover more than 115 recipes, discover best practices, and expert techniques as you progress through the book.
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Tableau 2019.x Cookbook. Over 115 recipes to build end-to-end analytical solutions using Tableau Tableau 2019.x Cookbook. Over 115 recipes to build end-to-end analytical solutions using Tableau
Dmitry Anoshin, Teodora Matic, Slaven Bogdanovic, Tania Lincoln, Dmitrii Shirokov
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Web scraping is the process of extracting information from the web using various tools that perform scraping and crawling. Go is emerging as the language of choice for scraping using a variety of libraries. This book will quickly explain to you, how to scrape data data from various websites using Go libraries such as Colly and Goquery.
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Go Web Scraping Quick Start Guide. Implement the power of Go to scrape and crawl data from the web Go Web Scraping Quick Start Guide. Implement the power of Go to scrape and crawl data from the web
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Blockchain has the potential to change the world and has become the hottest field in the tech sector now. Blockchain for Business is a comprehensive guide that enables you to fully understand the far-reaching applications beyond Bitcoin and empowers you to make fully-informed decisions.
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Blockchain for Business 2019. A user-friendly introduction to blockchain technology and its business applications Blockchain for Business 2019. A user-friendly introduction to blockchain technology and its business applications
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The book will help you learn deep neural networks and their applications in computer vision, generative models, and natural language processing. It will also introduce you to the area of reinforcement learning, where you’ll learn the state-of-the-art algorithms to teach the machines how to play games like Go and Atari.
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Python Deep Learning. Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow - Second Edition Python Deep Learning. Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow - Second Edition
Ivan Vasilev, Daniel Slater, Gianmario Spacagna, Peter Roelants, Valentino Zocca
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With the help of this book, you'll build smart algorithmic models using machine learning algorithms covering tasks such as time series forecasting, backtesting, trade predictions, and more using easy-to-follow examples. By the end, you'll be able to adopt algorithmic trading in your own business and implement intelligent investigative strategies.
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Hands-On Machine Learning for Algorithmic Trading. Design and implement investment strategies based on smart algorithms that learn from data using Python Hands-On Machine Learning for Algorithmic Trading. Design and implement investment strategies based on smart algorithms that learn from data using Python
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Learn how to use Apache Kafka for efficient processing of distributed applications. This book focuses on programming rather than configuration management of Kafka clusters or Dev Ops. Each chapter focuses on a practical aspect and tries to avoid the tedious theoretical sections. By the end of this book, you will be familiar with solving everyday p
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Apache Kafka Quick Start Guide. Leverage Apache Kafka 2.0 to simplify real-time data processing for distributed applications Apache Kafka Quick Start Guide. Leverage Apache Kafka 2.0 to simplify real-time data processing for distributed applications
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Blockchain technology is giving birth to new business models, inspiring communities to build economies on a decentralized network. This book will be your practical guide to get you up and running with concepts of building your very own Blockchain network. You will get a thorough understanding of how a decentralized network is built and deployed.
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Blockchain Quick Start Guide. A beginner's guide to developing enterprise-grade decentralized applications Blockchain Quick Start Guide. A beginner's guide to developing enterprise-grade decentralized applications
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QlikView is one of the most flexible and powerful business intelligence platforms around, and if you want to transform data into insights, it is one of the best options you have at hand. Use this Learning Path, to explore the many features of QlikView to realize the potential of your data and present it as impactful and engaging visualizations.
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QlikView: Advanced Data Visualization. Discover deeper insights with Qlikview by building your own rich analytical applications from scratch QlikView: Advanced Data Visualization. Discover deeper insights with Qlikview by building your own rich analytical applications from scratch
Miguel Angel Garcia, Barry Harmsen, Stephen Redmond, Karl Pover
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Bayesian inference uses probability distributions and Bayes' theorem to build flexible models.The book uses PyMC3 to abstract all the mathematical and computational details from this process allowing readers to solve a wide range of problems in data science.
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Bayesian Analysis with Python. Introduction to statistical modeling and probabilistic programming using PyMC3 and ArviZ - Second Edition Bayesian Analysis with Python. Introduction to statistical modeling and probabilistic programming using PyMC3 and ArviZ - Second Edition
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This book is a complete guide to building a solid data science pipeline, combining various tools and techniques to turn data into valuable insights. Get into the world of data science by implementing various real-world data science operations. You will learn how to implement best practices and overcome the challenges associated with each of them.
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Principles of Data Science. Understand, analyze, and predict data using Machine Learning concepts and tools - Second Edition Principles of Data Science. Understand, analyze, and predict data using Machine Learning concepts and tools - Second Edition
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PyTorch is extremely powerful and yet easy to learn. It provides advanced features such as supporting multiprocessor, distributed and parallel computation. This book is an excellent entry point for those wanting to explore deep learning with PyTorch to harness its power.
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Deep Learning with PyTorch Quick Start Guide. Learn to train and deploy neural network models in Python Deep Learning with PyTorch Quick Start Guide. Learn to train and deploy neural network models in Python
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Explore and understand data with the powerful data visualization techniques of Tableau, and then communicate insights in powerful ways
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Tableau 10 Complete Reference. Transform your business with rich data visualizations and interactive dashboards with Tableau 10 Tableau 10 Complete Reference. Transform your business with rich data visualizations and interactive dashboards with Tableau 10
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Apache Spark is an in-memory, cluster-based data processing system that provides a wide range of functionalities such as big data processing, analytics, machine learning, and more.
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Apache Spark 2: Data Processing and Real-Time Analytics. Master complex big data processing, stream analytics, and machine learning with Apache Spark Apache Spark 2: Data Processing and Real-Time Analytics. Master complex big data processing, stream analytics, and machine learning with Apache Spark
Romeo Kienzler, Md. Rezaul Karim, Sridhar Alla, Siamak Amirghodsi, Meenakshi Rajendran, Broderick Hall, Shuen Mei
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Data mining, or parsing the data to extract useful insights, is a niche skill that can transform your career as a data scientist Python is a flexible programming language that is equipped with a strong suite of libraries and toolkits, and gives you the perfect platform to sift through your data and mine the insights you seek.
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Numerical Computing with Python. Harness the power of Python to analyze and find hidden patterns in the data Numerical Computing with Python. Harness the power of Python to analyze and find hidden patterns in the data
Pratap Dangeti, Allen Yu, Claire Chung, Aldrin Yim, Theodore Petrou
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The Microsoft Power BI Complete Reference Guide gets you started with business intelligence by showing you how to install the Power BI toolset, design effective data models, and build basic dashboards and visualizations that make your data come to life.
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Microsoft Power BI Complete Reference. Bring your data to life with the powerful features of Microsoft Power BI Microsoft Power BI Complete Reference. Bring your data to life with the powerful features of Microsoft Power BI
Devin Knight, Brian Knight, Mitchell Pearson, Manuel Quintana, Brett Powell
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Apache Superset is a modern, open source, enterprise-ready Business Intelligence web application. This book will teach you how Superset integrates with popular databases like Postgres, Google BigQuery, Snowflake, and MySQL. You will learn to create real time data visualizations and dashboards on modern web browsers for your organization.
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Apache Superset Quick Start Guide. Develop interactive visualizations by creating user-friendly dashboards Apache Superset Quick Start Guide. Develop interactive visualizations by creating user-friendly dashboards
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This book will help you to comprehensively understand the various facets and factors involved in progressing your career in Site Reliability Engineering (SRE). Enterprise and cloud IT teams and software engineers will learn to adopt the SRE concepts and culture in a simplified and streamlined fashion.
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Practical Site Reliability Engineering. Automate the process of designing, developing, and delivering highly reliable apps and services with SRE Practical Site Reliability Engineering. Automate the process of designing, developing, and delivering highly reliable apps and services with SRE
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Hands-On Data Science with R explore various popular R packages to perform various data science tasks, including core statistical concepts and a wide array of use cases. This practical book covers the entire data science ecosystem for aspiring data scientists, including machine learning, NLP, and neural networks
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Hands-On Data Science with R. Techniques to perform data manipulation and mining to build smart analytical models using R Hands-On Data Science with R. Techniques to perform data manipulation and mining to build smart analytical models using R
Vitor Bianchi Lanzetta, Nataraj Dasgupta, Ricardo Anjoleto Farias
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Managing spatial data has always been challenging and it’s getting more complex as the size of data increases. This book is your companion to understand, manage, and analyze spatial data effectively using R and QGIS. You’ll learn to use different statistical analyses with spatial data and automate spatial tasks. You’ll also lea
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Hands-On Geospatial Analysis with R and QGIS. A beginner’s guide to manipulating, managing, and analyzing spatial data using R and QGIS 3.2.2 Hands-On Geospatial Analysis with R and QGIS. A beginner’s guide to manipulating, managing, and analyzing spatial data using R and QGIS 3.2.2
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This book covers all the relevant concepts and phases of the blockchain development cycle. It will walk you through a step-by-step process to build three blockchain projects with differing complexity levels and hurdles. By the end of this book, you will be ready to tackle common issues in the blockchain ecosystem.
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Blockchain By Example. A developer's guide to creating decentralized applications using Bitcoin, Ethereum, and Hyperledger Blockchain By Example. A developer's guide to creating decentralized applications using Bitcoin, Ethereum, and Hyperledger
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Apache Ignite is a distributed in-memory platform designed to scale and process large volume of data. It can be integrated with microservices as well as monolithic systems, and can be used as a scalable, highly available and performant deployment platform for microservices. This book will teach you to use Apache Ignite for building a high performan
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Apache Ignite Quick Start Guide. Distributed data caching and processing made easy Apache Ignite Quick Start Guide. Distributed data caching and processing made easy
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PostgreSQL is a rock-solid, scalable, and safe, enterprise-level relational database. With a broad range of features and stability it is ever increasing in popularity. The book shows you how to take advantages of PostgreSQL 11 features for Server-Side-Programming. Server-Side-Programming enables strong data encapsulation and coherence.
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PostgreSQL 11 Server Side Programming Quick Start Guide. Effective database programming and interaction PostgreSQL 11 Server Side Programming Quick Start Guide. Effective database programming and interaction
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Julia, with its dynamic nature and high-performance, provides comparatively minimal time for the development of computational models with easy-tomaintain computational code. This book will be your solution-based guide as it will take you through different programming aspects with Julia.
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Julia 1.0 Programming Cookbook. Over 100 numerical and distributed computing recipes for your daily data science work?ow Julia 1.0 Programming Cookbook. Over 100 numerical and distributed computing recipes for your daily data science work?ow
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Learn how to utilize Microsoft SQL Server with NoSQL concepts for data science challenges. This book will help enhance your knowledge beyond data querying & processing tasks by implementing a data science pipeline. We will implement data science tasks and show how to use them on a day-to-day basis for efficient smart predictive models.
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Hands-On Data Science with SQL Server 2017. Perform end-to-end data analysis to gain efficient data insight Hands-On Data Science with SQL Server 2017. Perform end-to-end data analysis to gain efficient data insight
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Splunk is a leading platform and solution for collecting, searching, and extracting value from ever increasing amounts of big data – and big data is eating the world! This book covers all the crucial Splunk topics and gives you the information and examples to get the immediate job done. You will find enough insights to support further rese
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Splunk 7.x Quick Start Guide. Gain business data insights from operational intelligence Splunk 7.x Quick Start Guide. Gain business data insights from operational intelligence
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Mastering Matplotlib covers the use cases and encounter unusual cases that requires more powerful tools. With the easy to follow examples and high end components of matplotlib, this book will enable to develop advanced and interactive plots using Python scripting and Matplotlib
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Mastering Matplotlib 2.x. Effective Data Visualization techniques with Python Mastering Matplotlib 2.x. Effective Data Visualization techniques with Python
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Data analysis is a part of computer science and part statistics. An important part of data analysis is validating your assumptions with real-world data to see if there is a pattern or a particular user behavior that you can validate. This book will help you get up to speed with the basics of data analysis and approaches in the Haskell language.
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Getting Started with Haskell Data Analysis. Put your data analysis techniques to work and generate publication-ready visualizations Getting Started with Haskell Data Analysis. Put your data analysis techniques to work and generate publication-ready visualizations
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Web scraping is a technique to extract data from websites. It simulates the behavior of a website user to turn the website itself into a web service to retrieve or introduce new data. This book gives you all you need to get started with scraping web pages using R programming.
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R Web Scraping Quick Start Guide. Techniques and tools to crawl and scrape data from websites R Web Scraping Quick Start Guide. Techniques and tools to crawl and scrape data from websites
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Applied Data Science with Python and Jupyter teaches you the skills you need for entry-level data science. You'll learn about some of the most commonly used libraries that are part of the Anaconda distribution, and then explore machine learning models with real datasets to give you the skills and exposure you need for the real world. You'll finish
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Applied Data Science with Python and Jupyter. Use powerful industry-standard tools to unlock new, actionable insights from your data Applied Data Science with Python and Jupyter. Use powerful industry-standard tools to unlock new, actionable insights from your data
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Python Fundamentals takes you from zero experience to a complete understanding of key concepts, edge cases, and using Python for real-world application development. You'll move progressively from the basics to working with larger complex applications. After completing this book, you'll have the skills you need to dive into an existing application o
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Python Fundamentals. A practical guide for learning Python, complete with real-world projects for you to explore Python Fundamentals. A practical guide for learning Python, complete with real-world projects for you to explore
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Choosing the right algorithm is often a key differentiator in the success or failure of a data model and its optimal performance. This book introduces you to 7 key machine learning algorithms which you can easily grasp within a week and includes exercises that will help you learn different aspects of machine learning without any hassle.
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Data Science Algorithms in a Week. Top 7 algorithms for scientific computing, data analysis, and machine learning - Second Edition Data Science Algorithms in a Week. Top 7 algorithms for scientific computing, data analysis, and machine learning - Second Edition
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Apache Hadoop is a widely used distributed data platform. It enables large datasets to be efficiently processed instead of using one large computer to store and process the data. This book will get you started with the Hadoop ecosystem, and introduce you to the main technical topics such as MapReduce, YARN and HDFS.
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Apache Hadoop 3 Quick Start Guide. Learn about big data processing and analytics Apache Hadoop 3 Quick Start Guide. Learn about big data processing and analytics
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Scikit-learn is a robust machine learning library for the Python programming language. It provides a set of supervised and unsupervised learning algorithms. This book is the easiest way to learn how to deploy, optimize and evaluate all the important machine learning algorithms that scikit-learn provides.
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Machine Learning with scikit-learn Quick Start Guide. Classification, regression, and clustering techniques in Python Machine Learning with scikit-learn Quick Start Guide. Classification, regression, and clustering techniques in Python
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This book presents highly practical, ready to implement recipes on using Python's Matplotlib package for effective data visualization. It contains quick solutions to the common and not-so-common problems encountered while designing different types of visualizations, including histograms, bar plots, and other advanced charts.
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Matplotlib 3.0 Cookbook. Over 150 recipes to create highly detailed interactive visualizations using Python Matplotlib 3.0 Cookbook. Over 150 recipes to create highly detailed interactive visualizations using Python
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Data exploration and visualization is vital to Business Intelligence, the backbone of almost every enterprise or organization. Redash is a querying and visualization tool developed to simplify how marketing and business development departments are exposed to data. If you want to learn to create interactive dashboards with Redash, explore different
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Redash v5 Quick Start Guide. Create and share interactive dashboards using Redash Redash v5 Quick Start Guide. Create and share interactive dashboards using Redash
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Puppet is a configuration management system and a language, written for and by system administrators to manage a large number of systems efficiently and prevent configuration drifts. This book will address core challenges of using Puppet Enterprise at mastery level and covering the latest features in-depth with a relevance to real-world scenarios.
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Mastering Puppet 5. Optimize enterprise-grade environment performance with Puppet Mastering Puppet 5. Optimize enterprise-grade environment performance with Puppet
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MicroStrategy is an enterprise business intelligence application. It turns data into reports for making and executing key organization decisions. This book shows you how to implement Business Intelligence (BI) with MicroStrategy. It takes you from set up and configuring MicroStrategy to security and administration.
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MicroStrategy Quick Start Guide. Data analytics and visualizations for Business Intelligence MicroStrategy Quick Start Guide. Data analytics and visualizations for Business Intelligence
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When data is presented to you in a graphical or pictorial format, you can analyze it more effectively. This book begins by introducing you to basic concepts, such as grammar of graphics and geometric objects. It then goes on to explain these concepts in detail with examples. Once you are comfortable with basics, you can learn all about the advanced
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Applied Data Visualization with R and ggplot2. Create useful, elaborate, and visually appealing plots Applied Data Visualization with R and ggplot2. Create useful, elaborate, and visually appealing plots
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Python Data Science Essentials, Third Edition provides modern insight in setting up and performing data science operations effectively using the latest python tools and libraries. It builds faster governance on the most essential tasks such as data munging and pre-processing, along with all the techniques you require.
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Python Data Science Essentials. A practitioner’s guide covering essential data science principles, tools, and techniques - Third Edition Python Data Science Essentials. A practitioner’s guide covering essential data science principles, tools, and techniques - Third Edition
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Tableau is one of the leading data visualization tools and regularly adds new functionalities to the product. This book will help you understand these new features with clear examples, and is also an excellent beginner's guide to start using Tableau in the most efficient way.
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Getting Started with Tableau 2018.x. Get up and running with the new features of Tableau 2018 for impactful data visualization Getting Started with Tableau 2018.x. Get up and running with the new features of Tableau 2018 for impactful data visualization
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MongoDB has grown to become the de facto NoSQL database with millions of users, from small start-ups to Fortune 500 companies. It can solve problems that are considered difficult, if not impossible, for aging RDBMS technologies. Written for version 4 of MongoDB, this book is the easiest way to get started with MongoDB.
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MongoDB 4 Quick Start Guide. Learn the skills you need to work with the world's most popular NoSQL database MongoDB 4 Quick Start Guide. Learn the skills you need to work with the world's most popular NoSQL database
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D3.js is a JavaScript library that allows you to create graphs and data visualizations in the browser, with HTML, SVG, and CSS. This book will take you from the basics of D3.js, so that you can create your own interactive visualizations, to creating the most common graphs that you will encounter as a developer, scientist, statistician, or data scie
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D3.js Quick Start Guide. Create amazing, interactive visualizations in the browser with JavaScript D3.js Quick Start Guide. Create amazing, interactive visualizations in the browser with JavaScript
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Data analysis is crucial to accurately predict the performance of an application. The book begins by getting you started with R, including basic programming and data import, data visualization, pivoting, merging, aggregating, and joins. Once you are comfortable with the basics, you can read ahead and learn all about data visualization and graphics.
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R Programming Fundamentals. Deal with data using various modeling techniques R Programming Fundamentals. Deal with data using various modeling techniques
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This book will help you build real-world decentralized blockchain applications highlighting the principles of peer-to-peer systems, smart contracts, interoperability, privacy and more. You will be aware of the process flow and the growing company needs so you can incorporate and scale them in your own enterprise
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Blockchain for Enterprise. Build scalable blockchain applications with privacy, interoperability, and permissioned features Blockchain for Enterprise. Build scalable blockchain applications with privacy, interoperability, and permissioned features
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Become a Python Data Analyst book introduces you to the mainstream libraries of Python’s Data Science stack. With proven examples and real-world datasets, this book teaches how to effectively perform data manipulation, visualize and analyze data patterns and brings you to the ladder of advanced topics like Predictive Analytics.
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Become a Python Data Analyst. Perform exploratory data analysis and gain insight into scientific computing using Python Become a Python Data Analyst. Perform exploratory data analysis and gain insight into scientific computing using Python
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SQL Server started to fully support data science only with its last two editions. If you are a professional from both worlds, SQL Server and data science, and interested in using SQL Server and Machine Learning Services for their projects, then this is the ideal book for you.
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Data Science with SQL Server Quick Start Guide. Integrate SQL Server with data science Data Science with SQL Server Quick Start Guide. Integrate SQL Server with data science
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This book will give you a wide understanding of the principles that underpin layouts in Shiny applications. You will learn about styling using different methods, like bits of HTML added to a vanilla Shiny application, and HTML interfaces. You will also learn about dashboards, navigation bars, and interfaces in Shiny applications.
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Hands-On Dashboard Development with Shiny. A practical guide to building effective web applications and dashboards Hands-On Dashboard Development with Shiny. A practical guide to building effective web applications and dashboards
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Blockchain and Bitcoin are currently the talk of the town. This book will start with an introduction to the fundamental concepts of Blockchain and it will take you through its various features and challenges. By the end of this book, you will learn to implement the Blockchain technology for securing your cryptocurrency.
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Learn Bitcoin and Blockchain. Understanding blockchain and Bitcoin architecture to build decentralized applications Learn Bitcoin and Blockchain. Understanding blockchain and Bitcoin architecture to build decentralized applications
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Python is an object-oriented, scripting language that is used in wide range of categories. In software engineering, a design pattern is a recommended solution to a software design problem. Although not new, design patterns remain one of the hottest topics in software engineering and they come as a ready reference for software developers to solve th
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Mastering Python Design Patterns. A guide to creating smart, efficient, and reusable software - Second Edition Mastering Python Design Patterns. A guide to creating smart, efficient, and reusable software - Second Edition
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Pentaho Data Integration(PDI) is an intuitive and graphical environment packed with drag-and-drop design and powerful Extract-Transform-Load (ETL) capabilities. Given its power and flexibility, first attempts to use the Pentaho Data Integration tool can be difficult or confusing. This book is the ideal solution to that problem.
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Pentaho Data Integration Quick Start Guide. Create ETL processes using Pentaho Pentaho Data Integration Quick Start Guide. Create ETL processes using Pentaho
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An expert Qlik Sense user can use its features for business intelligence in an enterprise environment effectively. This book is for people who are looking to create fully featured desktop applications to gain additional business insights in the workplace. It also includes features added recently to Qlik Sense such as Aggr and Data stories.
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Qlik Sense Cookbook. Over 80 recipes on data analytics to solve business intelligence challenges - Second Edition Qlik Sense Cookbook. Over 80 recipes on data analytics to solve business intelligence challenges - Second Edition
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This book applies the core principles and ideas of Blockchain in your existing applications. You will understand the key areas of Blockchain architecture along with the challenges faced with an easy-to-follow guide. You will not only be able to solve current and future problems around Blockchain but also build efficient decentralized applications.
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Blockchain Quick Reference. A guide to exploring decentralized blockchain application development Blockchain Quick Reference. A guide to exploring decentralized blockchain application development
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In this book, you will come across various real-world projects which will teach you how to leverage Tensforflow’s capabilities to perform efficient image processing tasks. By the end of this book, you will have mastered all the concepts of deep learning for Images and their implementations with Tensorflow and Keras
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Hands-On Deep Learning for Images with TensorFlow. Build intelligent computer vision applications using TensorFlow and Keras Hands-On Deep Learning for Images with TensorFlow. Build intelligent computer vision applications using TensorFlow and Keras
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Recommendation systems are at the heart of almost every internet business today; from Facebook to Netflix to Amazon. Providing good recommendations, whether it's friends, movies or groceries, goes a long way in defining user experience and enticing your customers to use and buy from your platform. This book teaches you to do just that.
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Hands-On Recommendation Systems with Python. Start building powerful and personalized, recommendation engines with Python Hands-On Recommendation Systems with Python. Start building powerful and personalized, recommendation engines with Python
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Machine learning and analytics have been widely utilized across the healthcare sector of late. This book will bridge the gap between practicing doctors and you as a data scientist. You will learn how to work with healthcare data and gain better insight from this data to improve healthcare outcomes.
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Healthcare Analytics Made Simple. Techniques in healthcare computing using machine learning and Python Healthcare Analytics Made Simple. Techniques in healthcare computing using machine learning and Python
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Mastering Kibana 6.x provides a rundown explanation required for data visualization and analysis such as X-Pack features, Beats, and machine learning. You will be expert in creating analytics-driven visualizations from a web application. You will be a maestro in creating custom monitoring dashboard using Beats with various examples
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Mastering Kibana 6.x. Visualize your Elastic Stack data with histograms, maps, charts, and graphs Mastering Kibana 6.x. Visualize your Elastic Stack data with histograms, maps, charts, and graphs
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Microsoft Power BI is a cloud-based service that helps you easily visualize and share insights from your organization's data. This book will get you started with Business Intelligence using the Power BI tool, covering essential concepts like installation, building basic dashboards and visualizations to make your data come to life.
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Microsoft Power BI Quick Start Guide. Build dashboards and visualizations to make your data come to life Microsoft Power BI Quick Start Guide. Build dashboards and visualizations to make your data come to life
Devin Knight, Brian Knight, Mitchell Pearson, Manuel Quintana
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This book introduces you to the concept of ensemble learning and demonstrates how different machine learning algorithms can be combined to build efficient machine learning models. Use R to implement the popular trilogy of ensemble techniques, i.e. bagging, random forest and boosting, to build faster and more accurate machine learning models.
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Hands-On Ensemble Learning with R. A beginner's guide to combining the power of machine learning algorithms using ensemble techniques Hands-On Ensemble Learning with R. A beginner's guide to combining the power of machine learning algorithms using ensemble techniques
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Facebook's fastText library handles text representation and classification, used for Natural Language Processing (NLP). Most organizations have to deal with enormous amounts of text data on a daily basis, and efficient data insights requires powerful NLP tools like fastText. This book is your ideal introduction to fastText.
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fastText Quick Start Guide. Get started with Facebook's library for text representation and classification fastText Quick Start Guide. Get started with Facebook's library for text representation and classification
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Ethereum enables the development of efficient, smart contracts that contain code. These smart contracts interact with other smart contracts to make decisions, store data, and send Ether to others. This book begins with an introduction to Ethereum and then a detailed step-by-step process required to building advanced Ethereum Projects.
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Ethereum Projects for Beginners. Build blockchain-based cryptocurrencies, smart contracts, and DApps Ethereum Projects for Beginners. Build blockchain-based cryptocurrencies, smart contracts, and DApps
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Apache Spark Deep Learning Cookbook presents useful tips and tricks to overcome any problem related to building efficient distributed deep learning applications on Apache Spark. With the help of this book, you will leverage powerful deep learning libraries such as TensorFlow to develop your models and ensure their optimum performance.
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Apache Spark Deep Learning Cookbook. Over 80 best practice recipes for the distributed training and deployment of neural networks using Keras and TensorFlow Apache Spark Deep Learning Cookbook. Over 80 best practice recipes for the distributed training and deployment of neural networks using Keras and TensorFlow
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Promocja
Fast data ingestion, serving, and analytics in the Hadoop ecosystem have forced developers and architects to choose solutions using the least common denominator—either fast analytics at the cost of slow data ingestion or fast data ingestion at the cost of slow analytics. There is an answer to this problem. With the Apache Kudu column-oriented- ePub + Mobi pkt
Getting Started with Kudu. Perform Fast Analytics on Fast Data Getting Started with Kudu. Perform Fast Analytics on Fast Data
(152,15 zł najniższa cena z 30 dni)
160.65 zł
189.00 zł(-15%) -
In this book, you will explore two important Python packages used by Data Analysts, NumPy & pandas. You will dive into different concepts such as reading, sorting, grouping of data, and also learn how to work with different data formats for your data analysis projects.
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Hands-On Data Analysis with NumPy and Pandas. Implement Python packages from data manipulation to processing Hands-On Data Analysis with NumPy and Pandas. Implement Python packages from data manipulation to processing
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This cookbook presents recipes on leveraging the power of Python and putting it to use in the Apache Spark ecosystem. By the end of this book, you will be able to solve any problem associated with building effective, data-intensive applications and performing machine learning and structured streaming using PySpark.
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PySpark Cookbook. Over 60 recipes for implementing big data processing and analytics using Apache Spark and Python PySpark Cookbook. Over 60 recipes for implementing big data processing and analytics using Apache Spark and Python
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Despite the growing investment in cybersecurity, modern attackers manage to bypass advanced security systems. Blockchain and Hyperledger architecture provide a safer way of avoiding such attacks. This book will help you build blockchain-based apps for DDoS protection, PKI-based identity platform, Two-factor authentication and DNS Security platform.
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Hands-On Cybersecurity with Blockchain. Implement DDoS protection, PKI-based identity, 2FA, and DNS security using Blockchain Hands-On Cybersecurity with Blockchain. Implement DDoS protection, PKI-based identity, 2FA, and DNS security using Blockchain
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Mastering Numerical Computing with Python guides you in performing complex computing with cutting-edge coverage on advanced concepts such as exploratory data analysis and clustering algorithms. You'll become an expert in addressing matrix calculations, and write efficient NumPy codes for implementing algorithms with real-world examples.
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Mastering Numerical Computing with NumPy. Master scientific computing and perform complex operations with ease Mastering Numerical Computing with NumPy. Master scientific computing and perform complex operations with ease
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The primary responsibility of any Big Data architect is to design an end-to-end Big Data solution that integrates data from different sources and analyzes it to find hidden business insights. This book will show you how to do just that, by leveraging the popular tools within the Hadoop ecosystem to process, analyze and visualize your data
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Big Data Architect's Handbook. A guide to building proficiency in tools and systems used by leading big data experts Big Data Architect's Handbook. A guide to building proficiency in tools and systems used by leading big data experts
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Adding a layer of interactivity to your plots and converting these plots into applications hold immense value in the field of data science. The standard approach to adding interactivity would be to use paid software such as Tableau, but the Bokeh package in Python offers users a way to create both interactive and visually aesthetic plots for free.
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Hands-On Data Visualization with Bokeh. Interactive web plotting for Python using Bokeh Hands-On Data Visualization with Bokeh. Interactive web plotting for Python using Bokeh
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Get to grips with the skills you need for entry-level data science in this hands-on Python and Jupyter course. You'll learn about some of the most commonly used libraries that are part of the Anaconda distribution, and then explore machine learning models with real datasets to give you the skills and exposure you need for the real world. We'll fini
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Beginning Data Science with Python and Jupyter. Use powerful industry-standard tools within Jupyter and the Python ecosystem to unlock new, actionable insights from your data Beginning Data Science with Python and Jupyter. Use powerful industry-standard tools within Jupyter and the Python ecosystem to unlock new, actionable insights from your data
Książki z zakresu analizy danych - twoje narzędzie do efektywnego przetwarzania informacji
Nasza kategoria książek o analizie danych oferuje szeroki wybór publikacji, które wprowadzają w techniki i metody efektywnego przetwarzania oraz interpretacji danych. Wśród nich znajdują się pozycje idealne dla początkujących w dziedzinie analizy danych, takie jak "Analityk danych. Przewodnik po data science, statystyce i uczeniu maszynowym" oraz "Data science od podstaw. Analiza danych w Pythonie". Dla bardziej zaawansowanych analityków przygotowaliśmy książki, które pozwalają pogłębić umiejętności i wiedzę w zakresie zaawansowanych technik analizy danych.
Dodatkowo, nasza oferta zawiera książki skoncentrowane na specyficznych aspektach analizy danych, które stanowią cenne źródło wiedzy dla osób pracujących w sektorze biznesowym. Wyróżniają się tu tytuły poświęcone wizualizacji danych oraz zastosowaniu uczenia maszynowego w biznesie, oferując praktyczne porady i techniki przydatne w codziennej pracy z danymi.
Analiza danych biznesowych - przewodnik po świecie biznesowej analityki
Analiza danych biznesowych to klucz do sukcesu w każdej nowoczesnej organizacji. W Helion oferujemy książki, które są przewodnikami po świecie biznesowej analityki danych. Dzięki nim poznasz metody i narzędzia niezbędne do przeprowadzania skutecznych analiz, które pomogą w podejmowaniu trafnych decyzji biznesowych. Tytuły takie jak "Analiza biznesowa. Praktyczne modelowanie organizacji" czy "Analizy Business Intelligence. Zaawansowane wykorzystanie Excela” dostarczają wiedzy o narzędziach i metodach stosowanych w analizie danych biznesowych.
Nasze książki skierowane są do szerokiego grona odbiorców, od studentów po doświadczonych profesjonalistów. Stawiamy na jakość i aktualność naszych publikacji, aby odpowiadały na bieżące potrzeby rynku. Zapraszamy Cię do zapoznania się z naszą ofertą książek o analizie danych. W Helion znajdziesz literaturę, która pomoże Ci nie tylko zdobyć wiedzę, ale także zastosować ją w praktyce. Odkryj z nami potęgę danych i wykorzystaj je do osiągnięcia sukcesu zawodowego!