Big Data - ebooki
Ebooki z kategorii: Big Data dostępne w księgarni Helion
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With this book, you will learn how to integrate data science into your organization and lead data science teams. You will discover the inner workings of data science, explore management techniques for data science projects and get strategies for executing every stage of the project efficiently.
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Managing Data Science. Effective strategies to manage data science projects and build a sustainable team Managing Data Science. Effective strategies to manage data science projects and build a sustainable team
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Salesforce Advanced Administrator Certification Guide is a complete resource that will help you gain the knowledge and master the skills required to earn the advanced administrator credentials. With plenty of questions and answers along with best practices, you will learn all the concepts asked in exams specially designed with this guide.
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Salesforce Advanced Administrator Certification Guide. Become a Certified Advanced Salesforce Administrator with this exam guide Salesforce Advanced Administrator Certification Guide. Become a Certified Advanced Salesforce Administrator with this exam guide
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Deep Learning is a trending topic in AI currently, as it allows you to make faster and more accurate predictions using the power of neural networks. This book will teach you the process of neural network design, and show you how to develop efficient deep learning applications using Deeplearning4j through practical and easy to implement recipes.
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Java Deep Learning Cookbook. Train neural networks for classification, NLP, and reinforcement learning using Deeplearning4j Java Deep Learning Cookbook. Train neural networks for classification, NLP, and reinforcement learning using Deeplearning4j
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Extreme C teaches you to use C’s power. You will master preprocessor directives, macros, conditional compilation, pointers, and much more, and gain new insight into algorithm design, functions, and structures. Amini’s book captures his experience as a programmer and scientist, encouraging you to think, question, apply, and experiment
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Extreme C. Taking you to the limit in Concurrency, OOP, and the most advanced capabilities of C Extreme C. Taking you to the limit in Concurrency, OOP, and the most advanced capabilities of C
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This book presents practical solutions to the most common reinforcement learning problems. The recipes in this book will help you understand the fundamental concepts to develop popular RL algorithms. You will gain practical experience in the RL domain using the modern offerings of the PyTorch 1.x library.
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PyTorch 1.x Reinforcement Learning Cookbook. Over 60 recipes to design, develop, and deploy self-learning AI models using Python PyTorch 1.x Reinforcement Learning Cookbook. Over 60 recipes to design, develop, and deploy self-learning AI models using Python
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Odoo is a comprehensive set of open-source enterprise management applications. With, you will have access to a powerful website builder, integrated e-commerce features, and a fast growing community to help transform and modernize your business. This book will take you the essential features of Odoo and how you can make the best use of them.
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Learn Odoo. A beginner's guide to designing, configuring, and customizing business applications with Odoo Learn Odoo. A beginner's guide to designing, configuring, and customizing business applications with Odoo
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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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This book will help you build expert proficiency in developing large-scale applications using MongoDB 4.x. You will master CRUD operations and perform tasks such as indexing, aggregation, monitoring, sharding, cluster management, and administration. You take building and administering scalable MongoDB applications to the next level.
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Mastering MongoDB 4.x. Expert techniques to run high-volume and fault-tolerant database solutions using MongoDB 4.x - Second Edition Mastering MongoDB 4.x. Expert techniques to run high-volume and fault-tolerant database solutions using MongoDB 4.x - Second Edition
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This book is an essential guide for anyone interested in Reinforcement Learning. The book provides an actionable reference for Reinforcement Learning algorithms and their applications using TensorFlow and Python. It will help readers leverage the power of algorithms such as Deep Q-Network (DQN), Deep Deterministic Policy Gradients (DDPG), and Proxi
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TensorFlow Reinforcement Learning Quick Start Guide. Get up and running with training and deploying intelligent, self-learning agents using Python TensorFlow Reinforcement Learning Quick Start Guide. Get up and running with training and deploying intelligent, self-learning agents using Python
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Artificial intelligence (AI) is rapidly becoming the most popular topic in business and science. This book introduces AI concepts and their use cases with a hands-on and application-focused approach. We will cover a range of projects covering tasks such as automated reasoning, facial recognition, digital assistants, auto text generation, and more.
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Mobile Artificial Intelligence Projects. Develop seven projects on your smartphone using artificial intelligence and deep learning techniques Mobile Artificial Intelligence Projects. Develop seven projects on your smartphone using artificial intelligence and deep learning techniques
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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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Unsupervised learning is a key required block in both machine learning and deep learning domains. You will explore how to make your models learn, grow, change, and develop by themselves whenever they are exposed to a new set of data. With this book, you will learn the art of unsupervised learning for different real-world challenges.
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Hands-On Unsupervised Learning with Python. Implement machine learning and deep learning models using Scikit-Learn, TensorFlow, and more Hands-On Unsupervised Learning with Python. Implement machine learning and deep learning models using Scikit-Learn, TensorFlow, and more
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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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This book uses a recipe-based approach to showcase the power of machine learning algorithms to build ensemble models using Python libraries. Through this book, you will be able to pick up the code, understand in depth how it works, execute and implement it efficiently. This will be a desk reference to implement a wide range of tasks and solve the c
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Ensemble Machine Learning Cookbook. Over 35 practical recipes to explore ensemble machine learning techniques using Python Ensemble Machine Learning Cookbook. Over 35 practical recipes to explore ensemble machine learning techniques 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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Machine Learning (ML) is transforming the way we understand and interact with the world around us. This book is a perfect guide for you to use the Python ecosystem to cover key domains in the machine learning. You will learn to implement advanced concepts and most used machine learning algorithms using complex datasets and optimized techniques.
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Python Machine Learning Blueprints. Put your machine learning concepts to the test by developing real-world smart projects - Second Edition Python Machine Learning Blueprints. Put your machine learning concepts to the test by developing real-world smart projects - Second Edition
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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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This book includes 9 projects on building smart and practical AI-based systems. These projects cover solutions to different domain-specific problems in healthcare, e-commerce and more. With this book, you will apply different machine learning and deep learning techniques and learn how to build your own intelligent applications for smart predictions
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Intelligent Projects Using Python. 9 real-world AI projects leveraging machine learning and deep learning with TensorFlow and Keras Intelligent Projects Using Python. 9 real-world AI projects leveraging machine learning and deep learning with TensorFlow and Keras
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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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The purpose of the book is to help a machine learning practitioner gets hands-on experience in working with real-world data and apply modern machine learning algorithms. You will learn to implement each algorithm to a specific industry problem. It covers projects involving both supervised as well as unsupervised learning approaches.
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R Machine Learning Projects. Implement supervised, unsupervised, and reinforcement learning techniques using R 3.5 R Machine Learning Projects. Implement supervised, unsupervised, and reinforcement learning techniques using R 3.5
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Generative Adversarial Networks have opened up many new possibilities in the machine learning domain. This book is all you need to implement different types of GANs using TensorFlow and Keras, in order to provide optimized and efficient deep learning solutions.
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Generative Adversarial Networks Cookbook. Over 100 recipes to build generative models using Python, TensorFlow, and Keras Generative Adversarial Networks Cookbook. Over 100 recipes to build generative models using Python, TensorFlow, and Keras
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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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This book will help you build intelligent mobile applications for Android and iOS using machine learning. In the process, you will use popular machine learning toolkits such as TensorFlow Lite, Core ML, ML Kit and Fritz to build and deploy state-of-the-art machine learning models for mobile devices.
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Machine Learning for Mobile. Practical guide to building intelligent mobile applications powered by machine learning Machine Learning for Mobile. Practical guide to building intelligent mobile applications powered by machine learning
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Ripple uses blockchain technology to make international money transfer fast and efficient. Since it drastically reduces cost, it is widely accepted by financial institutions around the world. This book will help you with both theoretical and practical knowledge on how you can use the ripple technology. Since this book takes a hands-on approach, it
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Ripple Quick Start Guide. Get started with XRP and develop applications on Ripple's blockchain Ripple Quick Start Guide. Get started with XRP and develop applications on Ripple's blockchain
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This book demonstrates techniques to leverage the power of Python, OpenCV, and TensorFlow to solve problems in Computer Vision. This book also shows you how to build an application that can estimate human poses within images. You will also classify images and identify humans in videos, and then develop your own handwritten digit classifier.
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Computer Vision Projects with OpenCV and Python 3. Six end-to-end projects built using machine learning with OpenCV, Python, and TensorFlow Computer Vision Projects with OpenCV and Python 3. Six end-to-end projects built using machine learning with OpenCV, Python, and TensorFlow
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This book will teach you all the processes you need to build a predictive analytics solution: understanding the problem, preparing datasets, exploring relationships, model building, tuning, evaluation, and deployment. You'll earn to use Python and its data analytics ecosystem to implement the main techniques used in real-world projects.
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Hands-On Predictive Analytics with Python. Master the complete predictive analytics process, from problem definition to model deployment Hands-On Predictive Analytics with Python. Master the complete predictive analytics process, from problem definition to model deployment
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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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Julia offers a unique combination of performance and productivity and promises to change scientific computing as well as generic programming. It has C-like execution speed with excellent applications in multi-core, GPU, and cloud computing. Julia Programming Projects explains all this with the support of Julia v1.0.
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Julia Programming Projects. Learn Julia 1.x by building apps for data analysis, visualization, machine learning, and the web Julia Programming Projects. Learn Julia 1.x by building apps for data analysis, visualization, machine learning, and the web
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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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NLP in Python is among the most sought-after skills among data scientists. With code and relevant case studies, this book will show how you can use industry grade tools to implement NLP programs capable of learning from relevant data. We will explore many modern methods ranging from spaCy to word vectors that have reinvented NLP.
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Natural Language Processing with Python Quick Start Guide. Going from a Python developer to an effective Natural Language Processing Engineer Natural Language Processing with Python Quick Start Guide. Going from a Python developer to an effective Natural Language Processing Engineer
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This book will show you how to take advantage of TensorFlow’s most appealing features - simplicity, efficiency, and flexibility - in various scenarios. You will gain cutting-edge insights into using TensorFlow’s offerings for your problems and learn practical hacks to successfully implement real-world machine learning projects.
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TensorFlow Machine Learning Projects. Build 13 real-world projects with advanced numerical computations using the Python ecosystem TensorFlow Machine Learning Projects. Build 13 real-world projects with advanced numerical computations using the Python ecosystem
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Big data modeling is very challenging to handle using traditional database modeling and management systems. This book will teach you how to model big data using the latest and more efficient tools such as ERWIN, ANACONDA (Python), and WEKA to model data.
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Hands-On Big Data Modeling. Effective database design techniques for data architects and business intelligence professionals Hands-On Big Data Modeling. Effective database design techniques for data architects and business intelligence professionals
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Developers struggle to find an easy to follow learning resource for implementing Recurrent Neural Network(RNN) models. RNNs are the state-of-the-art model in deep learning for dealing with sequential data. From language translation to generating captions for an image, RNNs are used to continuously improve the results. This book will teach you the f
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Recurrent Neural Networks with Python Quick Start Guide. Sequential learning and language modeling with TensorFlow Recurrent Neural Networks with Python Quick Start Guide. Sequential learning and language modeling with TensorFlow
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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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This book will empower you to apply Artificial Intelligence techniques to design applications for natural language processing, robotics, and other real-world use-cases. You will be able to develop, debug, deploy and optimize intelligent AI systems for self-driving cars, game playing, and much more.
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Hands-On Artificial Intelligence for Beginners. An introduction to AI concepts, algorithms, and their implementation Hands-On Artificial Intelligence for Beginners. An introduction to AI concepts, algorithms, and their implementation
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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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This book will teach you how advanced machine learning can be performed in the cloud in a very cheap way. You will learn more about Azure ML processes as an enterprise-ready methodology. By the end of this book, you will implement machine learning and artificial intelligence concepts in your model to solve real-world problems.
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Hands-On Machine Learning with Azure. Build powerful models with cognitive machine learning and artificial intelligence Hands-On Machine Learning with Azure. Build powerful models with cognitive machine learning and artificial intelligence
Thomas K Abraham, Parashar Shah, Jen Stirrup, Lauri Lehman, Anindita Basak
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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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This book covers advanced deep learning techniques to create successful AI. Using MLPs, CNNs, and RNNs as building blocks to more advanced techniques, you’ll study deep neural network architectures, Autoencoders, Generative Adversarial Networks (GANs), Variational AutoEncoders (VAEs), and Deep Reinforcement Learning (DRL) critical to many cu
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Advanced Deep Learning with Keras. Apply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy gradients, and more Advanced Deep Learning with Keras. Apply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy gradients, and more
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Machine Learning in the healthcare domain is booming because of its abilities to provide accurate and stabilized techniques. This book is packed with new methodologies to create efficient solutions for healthcare analytics. We will build five end-to-end projects to evaluate the efficiency of AI apps to carry out simple-to-complex healthcare analyti
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Machine Learning for Healthcare Analytics Projects. Build smart AI applications using neural network methodologies across the healthcare vertical market Machine Learning for Healthcare Analytics Projects. Build smart AI applications using neural network methodologies across the healthcare vertical market
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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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IBM Watson Projects demonstrate projects focused on cognitive computing & analytical capabilities of IBM Watson. You will explore designing smart business solutions and understand the effectiveness of a supply chain using projects including healthcare dialog system, sentimental analysis on social media, personalized recommendation systems and more.
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IBM Watson Projects. Eight exciting projects that put artificial intelligence into practice for optimal business performance IBM Watson Projects. Eight exciting projects that put artificial intelligence into practice for optimal business performance
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This book will give you a complete walkthrough of the process of developing basic to advanced practical examples based on neural networks with C#. From simple perceptrons through GRU’s, you’ll learn to understand and implement these technologies using the concepts you’ve learned. Explore methods to optimize and adapt neural net
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Hands-On Neural Network Programming with C#. Add powerful neural network capabilities to your C# enterprise applications Hands-On Neural Network Programming with C#. Add powerful neural network capabilities to your C# enterprise applications
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In this book, you will find a range of methods to improve the performance of almost any predictive model, from ensemble methods to dimensionality reduction and cross-validation. You will learn the tools to produce advanced predictive models. In addition, you will dive into the exiting field of Deep Learning using TensorFlow.
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Mastering Predictive Analytics with scikit-learn and TensorFlow. Implement machine learning techniques to build advanced predictive models using Python Mastering Predictive Analytics with scikit-learn and TensorFlow. Implement machine learning techniques to build advanced predictive models using Python
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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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The age of AI brings the next transformation in modern UI, where human beings have credible and meaningful conversations with computers and modern appliances such as Alexa. Build cutting-edge AI voicebots and chatbots without needing deep technical knowledge, and learn key design aspects to make AI bots successful and convincing to humans. Industry
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Voicebot and Chatbot Design. Flexible conversational interfaces with Amazon Alexa, Google Home, and Facebook Messenger Voicebot and Chatbot Design. Flexible conversational interfaces with Amazon Alexa, Google Home, and Facebook Messenger
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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