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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Promocja
While tools for analyzing streaming and real-time data are gaining adoption, the ability to visualize these data types has yet to catch up. Dashboards are good at conveying daily or weekly data trends at a glance, though capturing snapshots when data is transforming from moment to moment is more difficult—but not impossible.With this practica- ePub + Mobi pkt
Visualizing Streaming Data. Interactive Analysis Beyond Static Limits Visualizing Streaming Data. Interactive Analysis Beyond Static Limits
(118,15 zł najniższa cena z 30 dni)
118.15 zł
139.00 zł(-15%) -
Apache Hadoop is the most popular platform for big data processing to build powerful analytics solutions. This book shows you how to do just that, with the help of practical examples. You will be well-versed with the analytical capabilities of Hadoop ecosystem with Apache Spark and Apache Flink to perform big data analytics by the end of this book.
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Big Data Analytics with Hadoop 3. Build highly effective analytics solutions to gain valuable insight into your big data Big Data Analytics with Hadoop 3. Build highly effective analytics solutions to gain valuable insight into your big data
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Implementing Oracle API Platform Cloud Service moves from theory to practice using the newest Oracle API management platform. This critical new platform for Oracle developers allows you to interface the complex array of services your clients expect in the modern world.
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Implementing Oracle API Platform Cloud Service. Design, deploy, and manage your APIs in Oracle’s new API Platform Implementing Oracle API Platform Cloud Service. Design, deploy, and manage your APIs in Oracle’s new API Platform
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Google Cloud AI enables you to consume Artificial Intelligence within your applications, from a REST API. Text, video and speech analysis are among the powerful machine learning features that can be used. This book is the easiest way to get started with the Google Cloud AI services suite and open up the world of smarter applications.
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Google Cloud AI Services Quick Start Guide. Build intelligent applications with Google Cloud AI services Google Cloud AI Services Quick Start Guide. Build intelligent applications with Google Cloud AI services
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SAS is the ground-breaking tool for advanced, predictive, and statistical analytics. Right from refining your data using power of SAS analytics, you will be able to exploit the capabilities of high-powered package to create accurate financial models. You can easily assess the pros and cons of models to suit unique business needs.
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SAS for Finance. Forecasting and data analysis techniques with real-world examples to build powerful financial models SAS for Finance. Forecasting and data analysis techniques with real-world examples to build powerful financial models
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Create smart systems to extract intelligent insights for decision making. You will learn about widely used Artificial Intelligence techniques for carrying out solutions in a production-ready environment. You'll explore advanced topics such as clustering, symbolic and sub-symbolic information representation, and many more.
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Artificial Intelligence for Big Data. Complete guide to automating Big Data solutions using Artificial Intelligence techniques Artificial Intelligence for Big Data. Complete guide to automating Big Data solutions using Artificial Intelligence techniques
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In this book, you will learn how to create powerful machine learning based applications for a wide variety of problems leveraging different data services from the Google Cloud Platform. Finally, you will know the main difficulties that you may encounter and get appropriate strategies to overcome these difficulties and build efficient systems.
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Hands-On Machine Learning on Google Cloud Platform. Implementing smart and efficient analytics using Cloud ML Engine Hands-On Machine Learning on Google Cloud Platform. Implementing smart and efficient analytics using Cloud ML Engine
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Jupyter has garnered a strong interest in the data science community of late, as it makes common data processing and analysis tasks much simpler. This book is for data science professionals who want to master various tasks related to Jupyter to create efficient, easy-to-share applications related to data analysis and visualization.
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Jupyter Cookbook. Over 75 recipes to perform interactive computing across Python, R, Scala, Spark, JavaScript, and more Jupyter Cookbook. Over 75 recipes to perform interactive computing across Python, R, Scala, Spark, JavaScript, and more
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Python comes with many libraries and tools that help you work on geoprocessing tasks without investing in expensive tools. This book introduces you to new libraries that perform geospatial and statistical analysis and data management. It uses examples that explain how Python v3 differs from v2, and solve age-old problems in geospatial analysis.
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Mastering Geospatial Analysis with Python. Explore GIS processing and learn to work with GeoDjango, CARTOframes and MapboxGL-Jupyter Mastering Geospatial Analysis with Python. Explore GIS processing and learn to work with GeoDjango, CARTOframes and MapboxGL-Jupyter
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This book helps machine learning professionals in developing AutoML systems that can be utilized to build ML solutions. This book covers the necessary foundations and shows the most practical ways possible to get to speed with regards to creating AutoML modules.
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Hands-On Automated Machine Learning. A beginner's guide to building automated machine learning systems using AutoML and Python Hands-On Automated Machine Learning. A beginner's guide to building automated machine learning systems using AutoML and Python
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Promocja
Opanuj techniki modelowania i analizy danych w programie Microsoft Excel 2013 i przekształć surowe informacje w końcowe wnioski. Ten oparty na rzeczywistych zastosowaniach poradnik praktyczny pokazuje, jak posługiwać się najnowszymi narzędziami Excela do integrowania danych z wielu źródeł i jak skutecznie zbudować relacyjne źródło danMicrosoft Excel 2013. Analiza i modelowanie danych biznesowych Microsoft Excel 2013. Analiza i modelowanie danych biznesowych
(51,32 zł najniższa cena z 30 dni)
88.83 zł
98.70 zł(-10%) -
This book will deep-dive into the concept of analytics on the cloud with the design and business considerations. You will build an end-to-end analytics engine to perform smart analytics using machine learning and deep learning concepts. From ingestion to processing your data, this book contains the best practices using Google Cloud Platform.
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Cloud Analytics with Google Cloud Platform. An end-to-end guide to processing and analyzing big data using Google Cloud Platform Cloud Analytics with Google Cloud Platform. An end-to-end guide to processing and analyzing big data using Google Cloud Platform
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This book presents unique techniques to conquer different Big Data processing and analytics challenges using Hadoop. Practical examples are provided to boost your understanding of Big Data concepts and their implementation. By the end of the book, you will have all the knowledge and skills you need to become a true Big Data expert.
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Modern Big Data Processing with Hadoop. Expert techniques for architecting end-to-end big data solutions to get valuable insights Modern Big Data Processing with Hadoop. Expert techniques for architecting end-to-end big data solutions to get valuable insights
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This book will help you implement Splunk 7's new services and will show you how to utilize them to quickly and efficiently process machine-generated big data. You will explore Splunk Cloud and the Machine Learning Toolkit and use them with ease throughout your organization. By the end of the book, you will have learned to implement these services i
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Implementing Splunk 7. Effective operational intelligence to transform machine-generated data into valuable business insight - Third Edition Implementing Splunk 7. Effective operational intelligence to transform machine-generated data into valuable business insight - Third Edition
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This book will show you how to use Power BI effectively to create a variety of visualizations and BI dashboards. Right from gathering data through various data sources, you will learn to perform effective visual analytics. By the end of this book, you will be able to gain unique, hidden insights into your data using Microsoft Power BI.
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Mastering Microsoft Power BI. Expert techniques for effective data analytics and business intelligence Mastering Microsoft Power BI. Expert techniques for effective data analytics and business intelligence
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This book is your guide to master deep learning with TensorFlow, with the help of 10 real-world projects. You will train high-performance models in TensorFlow to generate captions for images automatically, predict stocks' performance, create intelligent chatbots, perform large-scale text classification, develop recommendation systems, and more.
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TensorFlow Deep Learning Projects. 10 real-world projects on computer vision, machine translation, chatbots, and reinforcement learning TensorFlow Deep Learning Projects. 10 real-world projects on computer vision, machine translation, chatbots, and reinforcement learning
Abhishek Thakur, Alberto Boschetti, Luca Massaron, Alexey Grigorev, Rajalingappaa Shanmugamani
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AWK is one of the powerful utility which exists in all Unix and Unix-like distributions. This book covers the structure and the control flow of AWK program, regular expressions, and use of different operators to carry out various text processing and mining tasks. This book is packed with unique practical examples to practice AWK programming.
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Learning AWK Programming. A fast, and simple cutting-edge utility for text-processing on the Unix-like environment Learning AWK Programming. A fast, and simple cutting-edge utility for text-processing on the Unix-like environment
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This book is your one-stop guide to mastering Qlik Sense, catering for all your organizational BI needs. You'll see how you can seamlessly navigate through tons of organizational data from multiple sources and create smart visualizations that meet your unique business needs.
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Mastering Qlik Sense. Expert techniques on self-service data analytics to create enterprise ready Business Intelligence solutions Mastering Qlik Sense. Expert techniques on self-service data analytics to create enterprise ready Business Intelligence solutions
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Promocja
Machine learning is an intimidating subject until you know the fundamentals. If you understand basic coding concepts, this introductory guide will help you gain a solid foundation in machine learning principles. Using the R programming language, you’ll first start to learn with regression modelling and then move into more advanced topics such- ePub + Mobi pkt
Introduction to Machine Learning with R. Rigorous Mathematical Analysis Introduction to Machine Learning with R. Rigorous Mathematical Analysis
(152,15 zł najniższa cena z 30 dni)
160.65 zł
189.00 zł(-15%) -
Deep Learning is a subset of Machine Learning and has gained a lot of popularity recently. This book introduces you to the fundamentals of deep learning in a hands-on manner. You will use Tensorflow to train different types of neural networks for tasks related to computer vision, language processing, and other real-world problems.
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Deep Learning By Example. A hands-on guide to implementing advanced machine learning algorithms and neural networks Deep Learning By Example. A hands-on guide to implementing advanced machine learning algorithms and neural networks
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With integrated R Services within SQL Server 2017, developers and data scientists can now benefit from the integrated, effective, efficient and more streamlined analytics environment. In this book, you will understand how to leverage the capabilities of R Services in SQL Server 2017. This short yet effective guide will help you get familiar with SQ
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SQL Server 2017 Machine Learning Services with R. Data exploration, modeling, and advanced analytics SQL Server 2017 Machine Learning Services with R. Data exploration, modeling, and advanced analytics
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Ethereum is a public, blockchain-based distributed computing platform featuring smart contract functionality. In this book, you’ll learn about Ethereum and Smart Contracts, and we cover the Ethereum virtual machine (EVM) in detail. Then, you’ll get acquainted with DApps and DAOs and they how work. At the end of this book, we discuss B
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Ethereum Smart Contract Development. Build blockchain-based decentralized applications using solidity Ethereum Smart Contract Development. Build blockchain-based decentralized applications using solidity
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This book provides the intuition behind the state of the art Deep Learning architectures such as ResNet, DenseNet, Inception, and encoder-decoder without diving deep into the math of it. It shows how you can implement and use various architectures to solve problems in the area of image classification, language translation and NLP using PyTorch.
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Deep Learning with PyTorch. A practical approach to building neural network models using PyTorch Deep Learning with PyTorch. A practical approach to building neural network models using PyTorch
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R is a popular programming language used by statisticians and mathematicians for statistical analysis, and is popularly used for deep learning. This book demonstrates end-to-end implementations of five real-world projects on popular topics in deep learning such as handwritten digit recognition, traffic light detection, fraud detection, text generat
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R Deep Learning Projects. Master the techniques to design and develop neural network models in R R Deep Learning Projects. Master the techniques to design and develop neural network models in R
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Apache Solr is the only standalone enterprise search server with a REST-like application interface. It is highly scalable, providing distributed search, index replication, and it powers the search and navigation features of many of the world's largest internet sites. This book will take you through complex problems with solutions along with varied
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Mastering Apache Solr 7.x. An expert guide to advancing, optimizing, and scaling your enterprise search Mastering Apache Solr 7.x. An expert guide to advancing, optimizing, and scaling your enterprise search
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MySQL is one of the most popular and widely used relational databases in the world today. The recently released version 8.0 brings along some major advancements in the way your MySQL solution can be administered. This book starts with a brief introduction to the newly introduced features in MySQL 8, followed by quickly jumping onto the crucial task
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MySQL 8 Administrator's Guide. Effective guide to administering high-performance MySQL 8 solutions MySQL 8 Administrator's Guide. Effective guide to administering high-performance MySQL 8 solutions
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Teradata, unlike other relational database management systems, is mainly popular because of its faster analytical processing and storage capabilities. This book unveils all the functionality offered by Teradata's analytical platform with the help of practical recipes. From installation to querying, indexing to loading utilities for analytical proce
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Teradata Cookbook. Over 85 recipes to implement efficient data warehousing solutions Teradata Cookbook. Over 85 recipes to implement efficient data warehousing solutions
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Python Web Scraping Cookbook is a solution-focused book that will teach you techniques to develop high-performance Scrapers, and deal with cookies, hidden form fields, Ajax-based sites, proxies, and more. By the end of this book, you will be able to scrape websites more efficiently with more accurate data, and how to package, deploy and operate scr
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Python Web Scraping Cookbook. Over 90 proven recipes to get you scraping with Python, microservices, Docker, and AWS Python Web Scraping Cookbook. Over 90 proven recipes to get you scraping with Python, microservices, Docker, and AWS
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Computer Vision is a broadly used term associated with acquiring, processing, and analyzing images. This book will show you how you can perform various Computer Vision techniques in the most practical way possible. Right from capturing images from various sources, you will learn how to perform image filtering/manipulation and detect features in you
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Practical Computer Vision. Extract insightful information from images using TensorFlow, Keras, and OpenCV Practical Computer Vision. Extract insightful information from images using TensorFlow, Keras, and OpenCV
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Regression analysis is a statistical process which enables prediction of relationships between variables. This book will give you a rundown explaining what regression analysis is, explaining you the process from scratch. Each chapter starts with explaining the theoretical concepts and once the reader gets comfortable with the theory, we move to the
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Regression Analysis with R. Design and develop statistical nodes to identify unique relationships within data at scale Regression Analysis with R. Design and develop statistical nodes to identify unique relationships within data at scale
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IPython Interactive Computing and Visualization Cookbook, Second Edition shows you how to analyze and visualize data in the Jupyter Notebook. It will help you become an expert in high-performance computing and visualization for data analysis and scientific modeling.
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IPython Interactive Computing and Visualization Cookbook. Over 100 hands-on recipes to sharpen your skills in high-performance numerical computing and data science in the Jupyter Notebook - Second Edition IPython Interactive Computing and Visualization Cookbook. Over 100 hands-on recipes to sharpen your skills in high-performance numerical computing and data science in the Jupyter Notebook - Second Edition
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Deep Learning is one of the trending topics in the field of Artificial Intelligence today and can be considered to be an advanced form of machine learning. This book will help you take your first steps when it comes to training efficient deep learning models, and apply them in various practical scenarios. You will model, train and deploy different
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Deep Learning Essentials. Your hands-on guide to the fundamentals of deep learning and neural network modeling Deep Learning Essentials. Your hands-on guide to the fundamentals of deep learning and neural network modeling
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MySQL is one of the most popular and widely used relational databases in the World today. This book contains everything you need to know to be the go-to person in your organization when it comes to MySQL. Starting with a quick installation and configuration of your MySQL 8 instance, the book contains recipes that give you hands-on experience in dev
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MySQL 8 Cookbook. Over 150 recipes for high-performance database querying and administration MySQL 8 Cookbook. Over 150 recipes for high-performance database querying and administration
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Deep learning has shown its power in several application areas of Artificial Intelligence, especially in Computer Vision, the science of manipulating and processing images. In this book, you will learn different techniques in deep learning to accomplish tasks related to object classification, object detection, image segmentation, captioning, image
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Deep Learning for Computer Vision. Expert techniques to train advanced neural networks using TensorFlow and Keras Deep Learning for Computer Vision. Expert techniques to train advanced neural networks using TensorFlow and Keras
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Feature engineering is the most important step in creating powerful machine learning systems. This book will take you through the entire feature-engineering journey to make your machine learning much more systematic and effective.
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Feature Engineering Made Easy. Identify unique features from your dataset in order to build powerful machine learning systems Feature Engineering Made Easy. Identify unique features from your dataset in order to build powerful machine learning systems
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Big Data analytics relates to the strategies used by enterprises to process and analyze large amounts of data to bring out hidden insights. With the help of open source and enterprise tools, such as R, Python, Hadoop, and Spark, you will learn how to effectively mine your Big Data. By the end of this book, you will have a clear understanding of how
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Practical Big Data Analytics. Hands-on techniques to implement enterprise analytics and machine learning using Hadoop, Spark, NoSQL and R Practical Big Data Analytics. Hands-on techniques to implement enterprise analytics and machine learning using Hadoop, Spark, NoSQL and R
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Qlik Sense is powerful and creative visual analytics software that allows users to discover data, explore it, and dig out meaningful insights in order to make a profit and make decisions for your business. This course begins by introducing you to the features and functions of the most modern edition of Qlik Sense so you get to grips with the applic
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Qlik Sense: Advanced Data Visualization for Your Organization. Create smart data visualizations and predictive analytics solutions Qlik Sense: Advanced Data Visualization for Your Organization. Create smart data visualizations and predictive analytics solutions
Henric Cronström, Ferran Garcia Pagans, Neeraj Kharpate, James Richardson, Philip Hand
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IBM SPSS Modeler allows quick, efficient predictive analytics and insight building from your data, and is a popularly used data mining tool. This book will guide you through the data mining process, and presents relevant statistical methods which are used to build predictive models and conduct other analytic tasks using IBM SPSS Modeler. From impor
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IBM SPSS Modeler Essentials. Effective techniques for building powerful data mining and predictive analytics solutions IBM SPSS Modeler Essentials. Effective techniques for building powerful data mining and predictive analytics solutions
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Alteryx, as a leading data blending and advanced data analytics platform, has taken self-service data analytics to the next level. This book will set you on a self-service data analytics journey that will help you create efficient workflows using Alteryx, without any coding involved. It will empower you and your organization to take well-informed d
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Learning Alteryx. A beginner's guide to using Alteryx for self-service analytics and business intelligence Learning Alteryx. A beginner's guide to using Alteryx for self-service analytics and business intelligence
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This book will give you a fundamental understanding of what the stack is all about, and how to use it efficiently to build powerful real-time data processing applications. It provide in-depth coverage of the different components of the Elastic Stack, and how to use them all together.
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Learning Elastic Stack 6.0. A beginner’s guide to distributed search, analytics, and visualization using Elasticsearch, Logstash and Kibana Learning Elastic Stack 6.0. A beginner’s guide to distributed search, analytics, and visualization using Elasticsearch, Logstash and Kibana
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Apache Kafka is an open source stream processing platform to handle real-time data feeds. This book is a highly practical guide to help you understand the fundamentals as well as the advanced applications of Apache Kafka as an enterprise messaging service.It begins with configuring the basic Kafka APIs, and then shows you how to set up Kafka cluste
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Apache Kafka 1.0 Cookbook. Over 100 practical recipes on using distributed enterprise messaging to handle real-time data Apache Kafka 1.0 Cookbook. Over 100 practical recipes on using distributed enterprise messaging to handle real-time data
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Google BigQuery is a popular cloud data warehouse for large-scale data analytics. This book will serve as a comprehensive guide to mastering BigQuery, and how you can utilize it to quickly and efficiently get useful insights from your Big Data.You will begin with getting a quick overview of the Google Cloud Platform and the various services it supp
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Learning Google BigQuery. A beginner's guide to mining massive datasets through interactive analysis Learning Google BigQuery. A beginner's guide to mining massive datasets through interactive analysis
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The SciPy stack is a popular Python ecosystem used for mathematical and scientific computing tasks. Learn how you can put to use the various functionalities offered by the SciPy stack in the most efficient way possible. With the help of this book, you will solve real-world problems in linear algebra, numerical analysis, visualization, and more.
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SciPy Recipes. A cookbook with over 110 proven recipes for performing mathematical and scientific computations SciPy Recipes. A cookbook with over 110 proven recipes for performing mathematical and scientific computations
Luiz Felipe Martins, V Kishore Ayyadevara, Ruben Oliva Ramos
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This book will give you all the information you need to become an expert database administrator, and master the administrative aspects of SQL Server 2017. From setting up and configuring your SQL Server instance to fine-tuning your database, this extensive guide will teach you the nitty-gritty of SQL Server 2017 administration.
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SQL Server 2017 Administrator's Guide. One stop solution for DBAs to monitor, manage, and maintain enterprise databases SQL Server 2017 Administrator's Guide. One stop solution for DBAs to monitor, manage, and maintain enterprise databases
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Deep Neural Networks (DNNs) have achieved a lot of success in the field of computer vision, speech recognition, and natural language processing. In this book, you will learn how to efficiently use TensorFlow, Google's open source framework for deep learning, and implement different deep learning networks with easy to follow independent recipes.
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TensorFlow 1.x Deep Learning Cookbook. Over 90 unique recipes to solve artificial-intelligence driven problems with Python TensorFlow 1.x Deep Learning Cookbook. Over 90 unique recipes to solve artificial-intelligence driven problems with Python
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When Reactive Programming is used with a new and powerful programming language such as Kotlin, it gives programmers the power to make great apps very easily, with non-blocking code. Learn Reactive Programming with Kotlin won't just make your apps competitive, it'll make them market-leaders.
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Reactive Programming in Kotlin. Design and build non-blocking, asynchronous Kotlin applications with RXKotlin, Reactor-Kotlin, Android, and Spring Reactive Programming in Kotlin. Design and build non-blocking, asynchronous Kotlin applications with RXKotlin, Reactor-Kotlin, Android, and Spring
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This book is your guide to understanding the basics of how Azure Stream Analytics works, and build your own analytics solution using its capabilities. By the end of this book, you will be well-versed in using Azure Stream Analytics to develop an efficient analytics solution which can work with any type of data.
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Stream Analytics with Microsoft Azure. Real-time data processing for quick insights using Azure Stream Analytics Stream Analytics with Microsoft Azure. Real-time data processing for quick insights using Azure Stream Analytics
Krishnaswamy Venkataraman, Anindita Basak, Ryan Murphy, Manpreet Singh
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Promocja
Opanuj techniki modelowania biznesowego i analiz wykorzystujące Microsoft Excel 2016 i przekształć swoje dane w użyteczne wnioski. Wayne Winston, zdobywca wielu nagród akademickich, dzieli się swoim ogromnym doświadczeniem na stronach praktycznego podręcznika. To wydanie zawiera ponad 150 problemów z rozwiązaniami, a także rozdział o podstawach modMicrosoft Excel 2016 Analiza i modelowanie danych biznesowych Microsoft Excel 2016 Analiza i modelowanie danych biznesowych
(88,83 zł najniższa cena z 30 dni)
88.83 zł
98.70 zł(-10%) -
The visionaries who created ROS developed a framework for robotics centered on commonality of robotics system to simplify the process of building robots. From the fundamental concepts to advanced practical experience, ROS Robotics By Example, Second Edition will provide you with an incremental knowledge of the ROS framework, the backbone of the ro
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ROS Robotics By Example. Learning to control wheeled, limbed, and flying robots using ROS Kinetic Kame - Second Edition ROS Robotics By Example. Learning to control wheeled, limbed, and flying robots using ROS Kinetic Kame - Second Edition
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Applications that use and evaluate real-time streams need to take the features of the underlying processing engine into account. This is the first book about Apache Apex, teaching readers how to include the real-time streaming engine Apex in a functioning application, and which parts to add to make it performant and usable.
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Learning Apache Apex. Real-time streaming applications with Apex Learning Apache Apex. Real-time streaming applications with Apex
Thomas Weise, Munagala V. Ramanath, David Yan, Kenneth Knowles
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This book will empower you to produce and present impressive analyses from data, by selecting and implementing the appropriate data mining techniques in R. Explore a data mining crime case, where you will be requested to help resolving a real fraud case affecting a commercial company, by the mean of both basic and advanced data mining techniques.
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R Data Mining. Implement data mining techniques through practical use cases and real-world datasets R Data Mining. Implement data mining techniques through practical use cases and real-world datasets
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R is an open source language for data analysis and graphics. Its popularity has soared in recent years because of its powerful capabilities when it comes to turning different kinds of data into intuitive visualization solutions. An updated, revamped version of our R Data Visualization Cookbook, this book contains practical, easy to follow recipes y
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R Data Visualization Recipes. A cookbook with 65+ data visualization recipes for smarter decision-making R Data Visualization Recipes. A cookbook with 65+ data visualization recipes for smarter decision-making
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TensorFlow 1.x is an open source software library for numerical computation using data flow graphs. This book approaches common commercial machine learning problems using Google’s TensorFlow 1.x library. It covers unique features of the library such as Data Flow Graphs, training, visualization of performance with TensorBoard—all withi
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Machine Learning with TensorFlow 1.x. Second generation machine learning with Google's brainchild - TensorFlow 1.x Machine Learning with TensorFlow 1.x. Second generation machine learning with Google's brainchild - TensorFlow 1.x
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MongoDB has gone from being a niche database to the king of NoSQL databases in a short time and this is no small feat. Mastering MongoDB will help you gain proficiency in developing apps using MongoDB. This book covers a range of topics such as CRUD operations, Indexing, aggregation, monitoring, sharding, cluster operations, and more. If you are a
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Mastering MongoDB 3.x. An expert's guide to building fault-tolerant MongoDB applications Mastering MongoDB 3.x. An expert's guide to building fault-tolerant MongoDB applications
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R offers a large variety of packages and libraries for fast and accurate data analysis and visualization. As a result, it is one of the most popularly used languages by data scientists and analysts, or anyone who wants to perform data analysis. In this book, we show you just how to do that - with the help of practical implementations of real-world
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R Data Analysis Projects. Build end to end analytics systems to get deeper insights from your data R Data Analysis Projects. Build end to end analytics systems to get deeper insights from your data
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Statistics is an absolute must prerequisite for any task in the area of data science. This is also the most feared hindrance for developers to entering in the data science field. This book will start off with simple statistics and then move on to statistical methods that are used in data science algorithms. The R programs for the statistical comput
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Statistics for Data Science. Leverage the power of statistics for Data Analysis, Classification, Regression, Machine Learning, and Neural Networks Statistics for Data Science. Leverage the power of statistics for Data Analysis, Classification, Regression, Machine Learning, and Neural Networks
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scikit-learn has evolved as a robust library for machine learning applications in python with support for a wide range of supervised and unsupervised learning algorithms.This edition brings to you the various enhancements to its model implementations, API and bug fixes in the latest major release of scikit-learn to support Python. This book covers
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scikit-learn Cookbook. Over 80 recipes for machine learning in Python with scikit-learn - Second Edition scikit-learn Cookbook. Over 80 recipes for machine learning in Python with scikit-learn - Second Edition
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Around 80% of time in data analysis is spent on cleaning and preparing data for analysis. Python and R are considered a popular choice of tool for data analysis, and have packages which can be best used to manipulate different kinds of data, as per the requirement. This book will show you the best approaches for particular problems in real world ca
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Practical Data Wrangling. Expert techniques for transforming your raw data into a valuable source for analytics Practical Data Wrangling. Expert techniques for transforming your raw data into a valuable source for analytics
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Most of us have heard about the term Machine Learning, but surprisingly the frequently asked question by developers across the globe is “How do I get started in Machine Learning?”. One reason could be attributed to the vastness of the subject area because of which people often get overwhelmed by the abstractness and of ML and the term
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Machine Learning for Developers. Uplift your regular applications with the power of statistics, analytics, and machine learning Machine Learning for Developers. Uplift your regular applications with the power of statistics, analytics, and machine learning
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MongoDB is a high-performance and feature-rich NoSQL database that forms the backbone of the systems that power many different organizations. Packed with many features that have become essential for many different types of software professional and incredibly easy to use, this cookbook contains more than 100 recipes to address the everyday challeng
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MongoDB Administrator's Guide. Over 100 practical recipes to efficiently maintain and administer your MongoDB solution MongoDB Administrator's Guide. Over 100 practical recipes to efficiently maintain and administer your MongoDB solution
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Explore pandas, the powerful Python library for data analysis and manipulation by working on real-world datasets. Get to grips with the fundamentals and learn to use pandas to clean messy data, independently analyze groups within your data, make powerful time-series calculations, and create beautiful visualizations during exploratory data analysis.
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Pandas Cookbook. Recipes for Scientific Computing, Time Series Analysis and Data Visualization using Python Pandas Cookbook. Recipes for Scientific Computing, Time Series Analysis and Data Visualization using Python
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The R language is a powerful open source functional programming language. At its core, R is a statistical language that provides impressive tools to analyze data and create high-level graphics.This book covers the basics of R by setting up a user-friendly programming environment and programming ETL in R. Data exploration examples are provided that
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Machine Learning with R Cookbook. Analyze data and build predictive models - Second Edition Machine Learning with R Cookbook. Analyze data and build predictive models - Second Edition
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Developing a successful business intelligence solution takes more than just the knowledge of Qlik Sense. With Business Analytics becoming popular, it’s now becoming imperative for a Qlik Developer to scale up to the next level. This book will you with the right implementations needed for your organization to scale to new levels.
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Implementing Qlik Sense. Design, Develop, and Validate BI solutions for consultants Implementing Qlik Sense. Design, Develop, and Validate BI solutions for consultants
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With increase in complexity of data relationships, graph databases are quickly becoming the de-facto standard for organizations who manage large volumes of connected data. This book aims at getting you started with the popular graph database Neo4j along with covering key concepts like modelling transitions, searches, traversals, relationships and p
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Learning Neo4j 3.x. Effective data modeling, performance tuning and data visualization techniques in Neo4j - Second Edition Learning Neo4j 3.x. Effective data modeling, performance tuning and data visualization techniques in Neo4j - Second Edition
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Jupyter Notebook is a web-based environment that enables interactive computing in notebook documents. It allows you to create documents that contain live code, equations and visualizations. This book will be a comprehensive guide to getting started with data science using the popular Jupyter notebook. It will show you how to leverage the capabiltie
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Jupyter for Data Science. Exploratory analysis, statistical modeling, machine learning, and data visualization with Jupyter Jupyter for Data Science. Exploratory analysis, statistical modeling, machine learning, and data visualization with Jupyter
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R is a powerful tool for statistics, graphics, and statistical programming. It is used by tens of thousands of people daily to perform serious statistical analyses. It is a free, open source system whose implementation is the collective accomplishment of many intelligent, hard-working people. There are more than 2,000 available add-ons, and R is a
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Modern R Programming Cookbook. Recipes to simplify your statistical applications Modern R Programming Cookbook. Recipes to simplify your statistical applications
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Practical Time Series Analysis will introduce you to the basic concepts of time series analysis and describe powerful yet simple techniques in Python which data scientists and data engineers would find useful in dealing with real life datasets in industrial settings. This book focuses on explaining important concepts and practical techniques to pro
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Practical Time Series Analysis. Master Time Series Data Processing, Visualization, and Modeling using Python Practical Time Series Analysis. Master Time Series Data Processing, Visualization, and Modeling using Python
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Real-time data processing involves continuous input, processing and output of data, with the condition that the time required for processing is as short as possible. This book covers the majority of the existing and evolving open source technology stack for real-time processing and analytics. You will get to know about all the real-time solution as
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Practical Real-time Data Processing and Analytics. Distributed Computing and Event Processing using Apache Spark, Flink, Storm, and Kafka Practical Real-time Data Processing and Analytics. Distributed Computing and Event Processing using Apache Spark, Flink, Storm, and Kafka
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Power BI is a business intelligence and analytics services by Microsoft designed to provide visual and interactive insights into data. With the help of technical examples, this book will help you explore Power BI tools and features and demonstrate the use of end-to-end solutions that integrate them to get more out of Power BI.
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Microsoft Power BI Cookbook. Over 100 recipes for creating powerful Business Intelligence solutions to aid effective decision-making Microsoft Power BI Cookbook. Over 100 recipes for creating powerful Business Intelligence solutions to aid effective decision-making
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Scala is becoming the language of choice for software engineers and data scientists who analyze large data sets. This trend has been reinforced by the wide acceptance of Scala based frameworks such as Apache Spark and Kafka. As a functional language, Scala is particularly suited for extracting knowledge through supervised, unsupervised or reinforce
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Scala for Machine Learning. Build systems for data processing, machine learning, and deep learning - Second Edition Scala for Machine Learning. Build systems for data processing, machine learning, and deep learning - Second Edition
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SPSS Statistics is a software package used for logical batched and non-batched statistical analysis. Analytical tools such as SPSS can readily provide even a novice user with an overwhelming amount of information and a broad range of options for analyzing patterns in the data. This book will have a comprehensive coverage of IBM’s premier sta
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Data Analysis with IBM SPSS Statistics. Implementing data modeling, descriptive statistics and ANOVA Data Analysis with IBM SPSS Statistics. Implementing data modeling, descriptive statistics and ANOVA
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Data analytics with R has emerged as a very important focus for organizations of all kinds. R enables even those with only an intuitive grasp of the underlying concepts, without a deep mathematical background, to unleash powerful and detailed examinations of their data. This book empowers you by showing you ways to use R to generate professional an
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R Data Analysis Cookbook. Customizable R Recipes for data mining, data visualization and time series analysis - Second Edition R Data Analysis Cookbook. Customizable R Recipes for data mining, data visualization and time series analysis - Second Edition
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Data analysis is a process of inspecting, cleansing, transforming, and modeling data with the aim of discovering useful information. Java is one of the most popular languages to perform your data analysis tasks.This book will show you the fundamentals of data analysis tasks using Java - ranging from data retrieval to complex analysis. You will lear
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Java Data Analysis. Data mining, big data analysis, NoSQL, and data visualization Java Data Analysis. Data mining, big data analysis, NoSQL, and data visualization
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Pentaho 8 Reporting, a suite of Open Source tools, allows you to create pixel-perfect reports of your data in PDF, Excel, HTML, Text, Rich-Text-File, XML, and CSV. These computer generated reports easily refine data from various sources into a human-readable form. It helps to transform all your data into meaningful information, tailored to your aud
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Pentaho 8 Reporting for Java Developers. Create pixel-perfect analytical reports using reporting tools Pentaho 8 Reporting for Java Developers. Create pixel-perfect analytical reports using reporting tools
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Promocja
Traditional intrusion detection and logfile analysis are no longer enough to protect today’s complex networks. In the updated second edition of this practical guide, security researcher Michael Collins shows InfoSec personnel the latest techniques and tools for collecting and analyzing network traffic datasets. You’ll understand how you- ePub + Mobi pkt
Network Security Through Data Analysis. From Data to Action. 2nd Edition Network Security Through Data Analysis. From Data to Action. 2nd Edition
(152,15 zł najniższa cena z 30 dni)
160.65 zł
189.00 zł(-15%) -
In the past year, Apache Spark has been increasingly adopted for development of distributed applications. Spark SQL APIs provides an optimized interface that helps developers build such applications quickly and easily. However, designing web-scale production applications using Spark SQL APIs can be a complex task. Understanding the design and imple
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Learning Spark SQL. Architect streaming analytics and machine learning solutions Learning Spark SQL. Architect streaming analytics and machine learning solutions
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Promocja
Baza danych SQL Server programu Microsoft System Center Configuration Manager (ConfigMgr) zawiera wiele cennych informacji na temat Twoich użytkowników, komputerów, sprzętu, systemów operacyjnych, aplikacji czy stanu zgodności. Aby umożliwić Ci efektywne wyodrębnianie tych danych, Microsoft dostarczył kilku doskonałych narzędzi, wliczając w to usłuRaportowanie w System Center Configuration Manager Bez tajemnic Raportowanie w System Center Configuration Manager Bez tajemnic
(28,90 zł najniższa cena z 30 dni)
71.82 zł
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Statistical Analysis involves collecting and examining data to describe the nature of data that needs to be analyzed. It helps you explore the relation of data and build models to make better decisions. You will begin with a brief understanding of the nature of data and end with modern and advanced statistical models like CART. Every step is taken
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Statistical Application Development with R and Python. Develop applications using data processing, statistical models, and CART - Second Edition Statistical Application Development with R and Python. Develop applications using data processing, statistical models, and CART - Second Edition
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The purpose of machine learning is to build systems that learn from data. With the meteoric rise of machine learning, developers are now keen on finding out how can they make their Spark applications smarter. The book commences by defining machine learning primitives by the MLlib and H2O libraries. You will learn how to use Binary classification to
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Mastering Machine Learning with Spark 2.x. Harness the potential of machine learning, through spark Mastering Machine Learning with Spark 2.x. Harness the potential of machine learning, through spark
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MATLAB is the language of choice for many researchers and mathematics experts for machine learning. This book will build a foundation for machine learning using MATLAB for beginners. It will also help you learn regression, clustering, classification, predictive analytics, artificial neural networks, and more with MATLAB.
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MATLAB for Machine Learning. Practical examples of regression, clustering and neural networks MATLAB for Machine Learning. Practical examples of regression, clustering and neural networks
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Big data analytics are driving innovations in scientific research, digital marketing, policymaking and much more. Matplotlib offers simple but powerful plotting interface, versatile plot types and robust customizations, which help resolve the complexity in Big data visualization. “Matplotlib 2.x By Example” illustrates the methods and
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Matplotlib 2.x By Example. Multi-dimensional charts, graphs, and plots in Python Matplotlib 2.x By Example. Multi-dimensional charts, graphs, and plots in Python
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R is the go-to tool for statistics and data mining while Tableau offers an interface to filter data, plug and play with rich visualizations to describe insights from your data. When combined these two tools makes it easier to harness interesting patterns and communicate stories. This book covers various analytical techniques like prediction, classi
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Advanced Analytics with R and Tableau. Advanced analytics using data classification, unsupervised learning and data visualization Advanced Analytics with R and Tableau. Advanced analytics using data classification, unsupervised learning and data visualization
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R offers a free and open source environment that is perfect for both learning and deploying predictive modeling solutions in the real world. With its constantly growing community and plethora of packages, R offers the functionality to deal with a truly vast array of problems. Updated with revamped examples and to the latest version of R, this book
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Mastering Predictive Analytics with R. Machine learning techniques for advanced models - Second Edition Mastering Predictive Analytics with R. Machine learning techniques for advanced models - Second Edition
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Apache Kafka is a popular distributed streaming platform which acts as a messaging queue or an enterprise messaging system. This book is a comprehensive guide on designing and architecting enterprise-grade streaming applications using Apache Kafka and other Big Data tools. Once you grasp the basics, we will take you through the more advance concept
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Building Data Streaming Applications with Apache Kafka. Design, develop and streamline applications using Apache Kafka, Storm, Heron and Spark Building Data Streaming Applications with Apache Kafka. Design, develop and streamline applications using Apache Kafka, Storm, Heron and Spark
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With real-world examples and clear explanations, this book will ensure you will have a thorough mastery Apache Storm.You’ll get an understanding of deploying Storm on clusters. Introduce yourself to topics such as trident topology, monitoring, Storm Parallelism, scheduler and log processing. Learn how to integrate Storm with other well-known
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Mastering Apache Storm. Real-time big data streaming using Kafka, Hbase and Redis Mastering Apache Storm. Real-time big data streaming using Kafka, Hbase and Redis
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Microsoft's launch of SQL Server on Linux has made SQL Server a truly versatile platform across different operating systems and data-types, both on-premise and on-cloud.You will start by understanding how SQL Server can be installed on supported and unsupported Linux distributions.With the help of this book you will be able to setup SQL Server on L
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SQL Server on Linux. Configuring and administering your SQL Server solution on Linux SQL Server on Linux. Configuring and administering your SQL Server solution on Linux
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Promocja
Roughly inspired by the human brain, deep neural networks trained with large amounts of data can solve complex tasks with unprecedented accuracy. This practical book provides an end-to-end guide to TensorFlow, the leading open source software library that helps you build and train neural networks for computer vision, natural language processing (NL- ePub + Mobi pkt
Learning TensorFlow. A Guide to Building Deep Learning Systems Learning TensorFlow. A Guide to Building Deep Learning Systems
(152,15 zł najniższa cena z 30 dni)
160.65 zł
189.00 zł(-15%) -
This book will help you take your first steps in the world of data science. It will empower you to conduct data analysis and perform efficient machine learning using Python. You will gain value from your data using the various data mining and data analysis techniques in Python, and develop efficient predictive models to predict future results. You
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Hands-On Data Science and Python Machine Learning. Perform data mining and machine learning efficiently using Python and Spark Hands-On Data Science and Python Machine Learning. Perform data mining and machine learning efficiently using Python and Spark
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With deep learning going mainstream, making sense of data and getting accurate results using deep networks is possible. Dan Van Boxel is your guide to exploring the possibilities with deep learning; he will enable you to understand data like never before. With the efficiency and simplicity of TensorFlow, you will be able to process your data and ga
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Hands-On Deep Learning with TensorFlow. Uncover what is underneath your data! Hands-On Deep Learning with TensorFlow. Uncover what is underneath your data!
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Natural Language Processing is a field of computational linguistics and artificial intelligence that deals with human-computer interaction. The numbers of human-computer interaction instances are increasing so it’s becoming imperative that computers comprehend all major natural languages. Python's powerful tools and libraries are evolved so
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Python Natural Language Processing. Advanced machine learning and deep learning techniques for natural language processing Python Natural Language Processing. Advanced machine learning and deep learning techniques for natural language processing
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Promocja
Although interest in machine learning has reached a high point, lofty expectations often scuttle projects before they get very far. How can machine learning—especially deep neural networks—make a real difference in your organization? This hands-on guide not only provides the most practical information available on the subject, but also- ePub + Mobi pkt
(186,15 zł najniższa cena z 30 dni)
186.15 zł
219.00 zł(-15%) -
Social Media platforms such as Facebook, Twitter, Forums, Pinterest, and YouTube have become part of everyday life in a big way. However, these complex and noisy data streams pose a potent challenge to everyone when it comes to harnessing them properly and benefiting from them. This book will introduce you to the concept of social media analytics,
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Python Social Media Analytics. Analyze and visualize data from Twitter, YouTube, GitHub, and more Python Social Media Analytics. Analyze and visualize data from Twitter, YouTube, GitHub, and more
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Apache Spark is an in-memory cluster-based parallel processing system that provides a wide range of functionality like graph processing, machine learning, stream processing and more. This book will familiarize you with the newest features in Apache Spark 2.x, and take you through an exciting journey of complex Big Data processing, analytics, stream
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Mastering Apache Spark 2.x. Advanced techniques in complex Big Data processing, streaming analytics and machine learning - Second Edition Mastering Apache Spark 2.x. Advanced techniques in complex Big Data processing, streaming analytics and machine learning - Second Edition
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Apache Spark is the buzzword in the big data industry right now, especially with the increasing need for real-time streaming and data processing. While Spark is built on Scala, the Spark Java API exposes all the Spark features available in the Scala version for Java developers. This book will show you how you can implement various functionalities o
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Apache Spark 2.x for Java Developers. Explore big data at scale using Apache Spark 2.x Java APIs Apache Spark 2.x for Java Developers. Explore big data at scale using Apache Spark 2.x Java APIs
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Over the last few years, Scala has been adopted increasingly, especially in the field of data science and analytics, along with Apache Spark, which is built on Scala and is widely used in the field of analytics. With this book, you’ll learn how to leverage the power of both Scala and Spark to make sense of big data.
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Scala and Spark for Big Data Analytics. Explore the concepts of functional programming, data streaming, and machine learning Scala and Spark for Big Data Analytics. Explore the concepts of functional programming, data streaming, and machine learning
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Machine learning explores the study and construction of algorithms that can learn from, and make predictions on, data. This book will act as an entry point for anyone who wants to make a career in the field of Machine Learning. A few famous algorithms that are covered in this book are Linear regression, Logistic Regression, SVM, Naïve Bayes,
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Machine Learning Algorithms. A reference guide to popular algorithms for data science and machine learning Machine Learning Algorithms. A reference guide to popular algorithms for data science and machine learning
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This book examines machine learning models including k-nearest neighbors, logistic regression, naive Bayes, random forests, and support vector machines. You will work through document classification, image recognition, and other example problems.
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Mastering Machine Learning with scikit-learn. Apply effective learning algorithms to real-world problems using scikit-learn - Second Edition Mastering Machine Learning with scikit-learn. Apply effective learning algorithms to real-world problems using scikit-learn - Second Edition
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This book will teach you all it takes to perform complex statistical computations required for Machine Learning. You will gain information on statistics behind supervised learning, unsupervised learning, reinforcement learning, and more. Understand the real-world examples that discuss the statistical side of Machine Learning and familiarize yoursel
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Statistics for Machine Learning. Techniques for exploring supervised, unsupervised, and reinforcement learning models with Python and R Statistics for Machine Learning. Techniques for exploring supervised, unsupervised, and reinforcement learning models with Python and R
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Master key Java machine learning libraries and their applications with the help of real-world case studies. Explore advanced machine learning techniques such as anomaly detection, stream learning, active learning, semi-supervised learning, probabilistic graph modeling, text mining, deep learning, and big data batch and stream machine learning.
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Mastering Java Machine Learning. A Java developer's guide to implementing machine learning and big data architectures Mastering Java Machine Learning. A Java developer's guide to implementing machine learning and big data architectures
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SAP Analytics Cloud (formerly known as SAP BusinessObjects Cloud) is a cloud-based BI platform being delivered under SaaS terms. It is a business intelligence, planning, and predictive cloud-based application, which helps users blend data from different sources, create compelling data visualization, run ad hoc reporting, and more.
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Learning SAP Analytics Cloud. Collaborate, predict and solve business intelligence problems with cloud computing Learning SAP Analytics Cloud. Collaborate, predict and solve business intelligence problems with cloud computing
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In this course, we cover the basic as well as advanced data science concepts and how they are implemented using the popular Java tools and libraries. Throughout this course, the chapters will illustrate a challenging data science problem, and then go on to present a comprehensive, Java-based solution to tackle that problem.By the end of this course
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Java: Data Science Made Easy. Data collection, processing, analysis, and more Java: Data Science Made Easy. Data collection, processing, analysis, and more
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Python is a free and powerful tool used for quantitative finance and is a popular choice amongst many financial analysts. This book will teach you the basics of quantitative finance, and how they can be implemented by making use of the various Python libraries and modules.This book introduces you to the basic concepts and operations related to Pyth
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Python for Finance. Apply powerful finance models and quantitative analysis with Python - Second Edition Python for Finance. Apply powerful finance models and quantitative analysis with Python - Second Edition
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Frank Kane’s Taming Big Data with Apache Spark and Python is your companion to learning Apache Spark in a hands-on manner. Frank will start you off by teaching you how to set up Spark on a single system or on a cluster, and you’ll soon move on to analyzing large data sets using Spark RDD, and developing and running effective Spark jo
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Frank Kane's Taming Big Data with Apache Spark and Python. Real-world examples to help you analyze large datasets with Apache Spark Frank Kane's Taming Big Data with Apache Spark and Python. Real-world examples to help you analyze large datasets with Apache Spark
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This book teaches six specific steps needed to implement predictive analytics using R. It also teaches how team collaboration is critical and how it increases the chances of implementing a successful model. The book uses cases from healthcare, marketing, and government to build practical skills. Big Data is also covered, in this book, which will ex
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Practical Predictive Analytics. Analyse current and historical data to predict future trends using R, Spark, and more Practical Predictive Analytics. Analyse current and historical data to predict future trends using R, Spark, and more
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Pandas is a popular Python package used for practical, real world data analysis. It provides efficient fast, high-performance data structures that makes data exploration and analysis very easy. This learner's guide will help you through a comprehensive set of features provided by the pandas library to perform efficient data manipulation and analysi
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Learning pandas. High performance data manipulation and analysis using Python - Second Edition Learning pandas. High performance data manipulation and analysis using Python - Second Edition
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Elasticsearch is a Lucene-based search and analytics engine for distributed search and analytics. This book will be your hands-on guide as you explore and put to use the features of Elasticsearch 5.x.
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Learning Elasticsearch. Structured and unstructured data using distributed real-time search and analytics Learning Elasticsearch. Structured and unstructured data using distributed real-time search and analytics
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As an increasing amount of data is generated each year, and the need to analyze and operationalize it is more important than ever. Companies that know what to do with their data have a competitive advantage over companies that don't. This drives a higher demand for knowledgeable and competent data professionals. By sequentially working through the
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Practical Data Science Cookbook. Data pre-processing, analysis and visualization using R and Python - Second Edition Practical Data Science Cookbook. Data pre-processing, analysis and visualization using R and Python - Second Edition
Prabhanjan Narayanachar Tattar, Bhushan Purushottam Joshi, Sean Patrick Murphy, ABHIJIT DASGUPTA, Anthony Ojeda
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R: Mining spatial, text, web, and social media data. Create and customize data mining algorithms R: Mining spatial, text, web, and social media data. Create and customize data mining algorithms
Nathan H. Danneman, Richard Heimann, Pradeepta Mishra, Bater Makhabel
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Promocja
In the second edition of this practical book, four Cloudera data scientists present a set of self-contained patterns for performing large-scale data analysis with Spark. The authors bring Spark, statistical methods, and real-world data sets together to teach you how to approach analytics problems by example. Updated for Spark 2.1, this edition acts- ePub + Mobi pkt
Advanced Analytics with Spark. Patterns for Learning from Data at Scale. 2nd Edition Advanced Analytics with Spark. Patterns for Learning from Data at Scale. 2nd Edition
(152,15 zł najniższa cena z 30 dni)
160.65 zł
189.00 zł(-15%) -
Apache Spark has become the hottest platform and sought after skill set when it comes to the fields of Big Data, Analytics and Data Science. Apache Spark 2.x comes with series of new improvements in the areas of performance, scalability, operational and production readiness for structured processing of massive datasets. This book brings in a system
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Apache Spark 2.x Cookbook. Over 70 cloud-ready recipes for distributed Big Data processing and analytics Apache Spark 2.x Cookbook. Over 70 cloud-ready recipes for distributed Big Data processing and analytics
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Data science and machine learning are some of the top buzzwords in the technical world today. A re-surging interest in machine learning is due to the same factors that have made data mining and Bayesian analysis more popular than ever. This book is your entry point to machine learning. Through this book, you will learn to apply the concepts of mach
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Python Machine Learning By Example. The easiest way to get into machine learning Python Machine Learning By Example. The easiest way to get into machine learning
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The term 'Data Lake' has recently emerged as a prominent term in the big data industry. Data scientists can make use of it in deriving meaningful insights which can be used by businesses to redefine or transform the way they operate. Lambda architecture is also emerging as one of the very eminent patterns in the big data landscape, as it helps to d
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Data Lake for Enterprises. Lambda Architecture for building enterprise data systems Data Lake for Enterprises. Lambda Architecture for building enterprise data systems
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Python: End-to-end Data Analysis. Leverage the power of Python to clean, scrape, analyze, and visualize your data Python: End-to-end Data Analysis. Leverage the power of Python to clean, scrape, analyze, and visualize your data
Ivan Idris, Luiz Felipe Martins, Martin Czygan, Phuong Vo.T.H, Magnus Vilhelm Persson
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This book is the ultimate guide to using latest features of Python 3.x to scrape data from websites. Learn right from extracting data from static web pages to creating class-based scrapers with Scrapy libraries. This book will also help you build crawlers and determine how to scrape data from JavaScript dependent website using PyQt and Selenium. Yo
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Python Web Scraping. Hands-on data scraping and crawling using PyQT, Selnium, HTML and Python - Second Edition Python Web Scraping. Hands-on data scraping and crawling using PyQT, Selnium, HTML and Python - Second Edition
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PostgreSQL is an open source database management tool used for handling large datasets (big data) and as a JSON document database. It also has applications in the software and web domains. This book will enable you to build better PostgreSQL applications and administer databases more efficiently.
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Mastering PostgreSQL 9.6. A comprehensive guide for PostgreSQL 9.6 developers and administrators Mastering PostgreSQL 9.6. A comprehensive guide for PostgreSQL 9.6 developers and administrators
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A practical and use case driven approach to Hadoop administration with coverage on a vast array of topics including Hadoop cluster installation, performance tuning, cluster planning, security, and much more. This book covers Hadoop from the perspective of running clusters in critical and large environments with complex data and at scale.
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Hadoop 2.x Administration Cookbook. Administer and maintain large Apache Hadoop clusters Hadoop 2.x Administration Cookbook. Administer and maintain large Apache Hadoop clusters
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Dive into the world of social media and learn the art and science behind leveraging the power of R and analytics to transform data into actionable insights. This book will provide you with strategies and hands-on approaches to tap into data from diverse social media platforms and showcase the power of leveraging analytics to get insightful informat
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Learning Social Media Analytics with R. Transform data from social media platforms into actionable business insights Learning Social Media Analytics with R. Transform data from social media platforms into actionable business insights
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Want to get started with impressive interactive visualizations and implement them in your daily tasks? This book offers the perfect solution-D3.js. It has emerged as the most popular tool for data visualization. This book will teach you how to implement the features of the latest version of D3 while writing JavaScript using the newest tools and te
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D3.js 4.x Data Visualization. Learn to visualize your data with JavaScript - Third Edition D3.js 4.x Data Visualization. Learn to visualize your data with JavaScript - Third Edition
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Spark ML is the machine learning module of Spark. It uses in-memory RDDs to process machine learning models faster for clustering, classification, and regression.
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Machine Learning with Spark. Develop intelligent, distributed machine learning systems - Second Edition Machine Learning with Spark. Develop intelligent, distributed machine learning systems - Second Edition
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Java is the most wide-spread programming language nowadays, and you fill find it everywhere, from small startup companies to large enterprises. It is also a common choice for developing Data Science applications thanks to Java's prevalence and rich data processing toolbox.This book will explain how to use Java for Data Science, overview the availab
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Mastering Java for Data Science. Analytics and more for production-ready applications Mastering Java for Data Science. Analytics and more for production-ready applications
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!