W dobie cyfrowej transformacji, Big Data stało się jednym z najważniejszych tematów w świecie informatyki i biznesu. W Helion rozumiemy potrzebę poszerzenia wiedzy na ten temat, dlatego oferujemy Ci szeroki wybór książek poświęconych tematyce Big Data. Nasze publikacje zapewniają solidne podstawy teoretyczne oraz praktyczne wskazówki, które są niezbędne do zrozumienia i wykorzystania potencjału “wielkich danych” w różnych dziedzinach.
Big Data
Książki, ebooki, audiobooki, kursy video z kategorii: Big Data dostępne w księgarni Helion
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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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ArcGIS Server is the leading software for developing both web and mobile GIS applications. The ArcGIS API for JavaScript is the preferred way of developing your custom applications for ArcGIS Server since it can be used for both web and mobile application development. It's easy to use and doesn't require the use of a browser plugin. This practical
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Building Web and Mobile ArcGIS Server Applications with JavaScript. Build exciting custom web and mobile GIS applications with the ArcGIS Server API for JavaScript - Second Edition Building Web and Mobile ArcGIS Server Applications with JavaScript. Build exciting custom web and mobile GIS applications with the ArcGIS Server API for JavaScript - Second Edition
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Microsoft has revamped its Project Oxford to launch the all new Cognitive Services platform-a set of 30 APIs to add speech, vision, language, and knowledge capabilities to apps. This book will introduce you to 24 of the APIs released as part of Cognitive Services platform and show you how to leverage their capabilities. More importantly, you'll see
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Learning Microsoft Cognitive Services. Leverage Machine Learning APIs to build smart applications - Second Edition Learning Microsoft Cognitive Services. Leverage Machine Learning APIs to build smart applications - Second Edition
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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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MySQL is one of the most popular relational databases in the world today, and has become a popular choice of tool to handle vast amounts of structured data - that is, structured Big Data. This book will demonstrate how you can dabble with large amounts of data using MySQL 8. It also highlights topics such as integrating MySQL 8 and a Big Data solut
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MySQL 8 for Big Data. Effective data processing with MySQL 8, Hadoop, NoSQL APIs, and other Big Data tools MySQL 8 for Big Data. Effective data processing with MySQL 8, Hadoop, NoSQL APIs, and other Big Data tools
Shabbir Challawala, Chintan Mehta, Kandarp Patel, Jaydip Lakhatariya
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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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The mission of this book is to turn readers into productive, innovative data analysts who leverage Go to build robust and valuable applications. To this end, the book clearly introduces the technical aspects of building predictive models in Go, but it also helps the reader understand how machine learning workflows are being applied in real world sc
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Machine Learning With Go. Implement Regression, Classification, Clustering, Time-series Models, Neural Networks, and More using the Go Programming Language Machine Learning With Go. Implement Regression, Classification, Clustering, Time-series Models, Neural Networks, and More using the Go Programming Language
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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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This second edition of Python Machine Learning by Sebastian Raschka is for developers and data scientists looking for a practical approach to machine learning and deep learning. In this updated edition, you’ll explore the machine learning process using Python and the latest open source technologies, including scikit-learn and TensorFlow 1.x.
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Python Machine Learning. Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow - Second Edition Python Machine Learning. Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow - Second Edition
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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
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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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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)
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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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Informatica PowerCenter Version 10 is one of the most popular enterprise data warehousing tools. From the developer’s perspective, this book covers everything you need to implement an end-to-end Informatica project, starting with working on various sources and targets such as files and databases. This book covers all the transformations in v
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Learning Informatica PowerCenter 10.x. Enterprise data warehousing and intelligent data centers for efficient data management solutions - Second Edition Learning Informatica PowerCenter 10.x. Enterprise data warehousing and intelligent data centers for efficient data management solutions - Second Edition
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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
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160.65 zł
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Deep Learning is the next big thing. It is a part of machine learning. Its favorable results in application with huge and complex data is remarkable. This book will help you to get through the problems that you face during the execution of different tasks and understand hacks in deep learning, neural networks, and advanced machine learning techniqu
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R Deep Learning Cookbook. Solve complex neural net problems with TensorFlow, H2O and MXNet R Deep Learning Cookbook. Solve complex neural net problems with TensorFlow, H2O and MXNet
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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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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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There are unique challenges associated with analyzing Internet of Things (IoT) data. This book will turn you into an effective designer of analytics to meet those challenges. You will learn the strategies to optimize the data for analytics through step-by-step approach which is followed throughout this book.
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Analytics for the Internet of Things (IoT). Intelligent analytics for your intelligent devices Analytics for the Internet of Things (IoT). Intelligent analytics for your intelligent devices
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HoloLens, Microsoft’s innovative augmented reality headset, overlaps holograms into a user’s vision of their environment. Your ideas are closer to becoming real when you can create and work with holograms in relation to the world around you. If you are dreaming beyond virtual worlds, beyond screens, beyond pixels, and want to take a b
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Microsoft HoloLens Developer's Guide. A Complete Guide to HoloLens Application Development Microsoft HoloLens Developer's Guide. A Complete Guide to HoloLens Application Development
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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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QlikView is a BI platform for end-to-end business analytics. This hands-on guide will help you to implement QlikView, load different types of data into it, and model it effectively. You'll also write scripts for handling complex data transformations and organize QlikView projects in a way that's most productive for all stakeholders.
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QlikView for Developers. Design and build scalable and maintainable BI solutions QlikView for Developers. Design and build scalable and maintainable BI solutions
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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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The most commonly used GIS tools automate tasks that were historically done manually—compiling new maps by overlaying one on top of the other or physically cutting maps into pieces representing specific study areas, changing their projection, and getting meaningful results from the various layers by applying mathematical functions and operat
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Practical GIS. Learn novice to advanced topics such as QGIS, Spatial data analysis, and more Practical GIS. Learn novice to advanced topics such as QGIS, Spatial data analysis, and more
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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
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160.65 zł
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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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Game engines such as Unity are the power-tools behind the games we know and love. Unity is one of the most widely-used and best-loved packages for game development and is used by everyone, from hobbyists to large studios, to create games and interactive experiences for the Web, desktop, mobile, and console. With Unity's intuitive, easy-to-learn too
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Mastering Android Game Development with Unity. Build high-end Android games with Unity's advanced features Mastering Android Game Development with Unity. Build high-end Android games with Unity's advanced features
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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
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This is a project-based guide to teach you what Blockchain is, how it maintains data integrity, and how to create real-world Blockchain projects using Ethereum. With interesting real-world projects, you will know about bitcoin, generating smart and secure contracts with Ethereum, building end-to-end applications for Blockchain.
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Building Blockchain Projects. Building decentralized Blockchain applications with Ethereum and Solidity Building Blockchain Projects. Building decentralized Blockchain applications with Ethereum and Solidity
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The next step in the information age is to gain insights from the deluge of data coming our way. Data mining provides a way of finding these insights, and Python is one of the most popular languages for data mining because it provides both power and flexibility in analysis.
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Learning Data Mining with Python. Use Python to manipulate data and build predictive models - Second Edition Learning Data Mining with Python. Use Python to manipulate data and build predictive models - Second Edition
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Keras is a high-level neural network library written in Python that runs on top of either Theano or TensorFlow. With this book, you’ll learn the basics of Keras in a highly practical way and understand how this minimal, highly modular framework runs on both CPU and GPU, allowing you to put your ideas into action in the shortest possible time
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Deep Learning with Keras. Implementing deep learning models and neural networks with the power of Python Deep Learning with Keras. Implementing deep learning models and neural networks with the power of Python
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ArcGIS comes with a wide range of spatial analytical capabilities such as terrain analysis, interpolation, map algebra, neighborhood statistics, segmentation, classification and much more. This book uncovers such techniques with using real-world examples. With the help of step by step tutorials gain practical skills in geospatial data mining, visua
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Spatial Analytics with ArcGIS. Build powerful insights with spatial analytics Spatial Analytics with ArcGIS. Build powerful insights with spatial analytics
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Amazon has strongly evolved as a strong leader in the arenas of enterprise AI and machine learning. Through this book you'll learn how Amazon Machine learning services makes it easy for developers to implement machine learning models without the need of creating lengthy lines of code for ML algorithms. You will learn to leverage Amazon's Web Servi
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Effective Amazon Machine Learning. Expert web services for machine learning on cloud Effective Amazon Machine Learning. Expert web services for machine learning on cloud
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Apache Cassandra is second generation distributed NoSQL database and a popular choice for enterprises across the globe for it scalable and customizable features. This book offers you a steady learning path to understand its capabilities and develop skills to build highly reliable big data applications. This edition comes with examples to implement
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Learning Apache Cassandra. Managing fault-tolerant, scalable data with high performance - Second Edition Learning Apache Cassandra. Managing fault-tolerant, scalable data with high performance - Second Edition
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Machine learning is concerned with algorithms for transforming data into actionable intelligence and predictive analytics. Deep learning is a branch of machine learning based on multiple levels of representations. This book introduces the core concepts of deep learning using the latest version of TensorFlow to get implementation and research detail
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Deep Learning with TensorFlow. Explore neural networks with Python Deep Learning with TensorFlow. Explore neural networks with Python
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Machine learning is the field of Artificial Intelligence where we build systems that learn from data. Given the growing prominence of R—a cross-platform, zero-cost statistical programming environment—there has never been a better time to start applying machine learning to your data. This book will teach you advanced techniques in mach
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Mastering Machine Learning with R. Advanced prediction, algorithms, and learning methods with R 3.x - Second Edition Mastering Machine Learning with R. Advanced prediction, algorithms, and learning methods with R 3.x - Second Edition
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Machine learning is the new BLACK GOLD. In this book, we explore topics such as classification, clustering, model selection and regularization, nonlinearity, supervised, unsupervised, and reinforcement learning, structured prediction, neural networks, deep learning, and case studies. The algorithms are developed using R.The book is for students and
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Practical Machine Learning Cookbook. Supervised and unsupervised machine learning simplified Practical Machine Learning Cookbook. Supervised and unsupervised machine learning simplified
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Promocja
Kompletny przewodnik po DAX to najbardziej wyczerpujący i autorytatywny podręcznik języka Microsoft DAX w zastosowaniach BI i analityce. Podczas gdy inne książki omawiają tylko podstawy, ten przewodnik zapewnia wiedzę na poziomie eksperckim potrzebnych średnio i wysoko zaawansowanym użytkownikom Excela i profesjonalistom BI, od podstaw po innowacyjKompletny przewodnik po DAX. Analiza biznesowa przy użyciu Microsoft Excel, SQL Server Analysis Services i Power BI Kompletny przewodnik po DAX. Analiza biznesowa przy użyciu Microsoft Excel, SQL Server Analysis Services i Power BI
(88,83 zł najniższa cena z 30 dni)
88.83 zł
98.70 zł(-10%) -
Data analysis is the process of applying logical and analytical reasoning in order to study each data component. Python's powerful standard libraries or toolkits, such as Pylearn2 and Hebel, offer a fast, reliable, cross-platform environment for data analytics. This learning path will start with basic data analysis and you will then will gradually
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Python: Data Analytics and Visualization. Perform data processing and analysis with the help of python libraries, gain practical insights into predictive modeling and generate effective results in a variety of visually appealing charts using the plotting packages in Python Python: Data Analytics and Visualization. Perform data processing and analysis with the help of python libraries, gain practical insights into predictive modeling and generate effective results in a variety of visually appealing charts using the plotting packages in Python
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This book will guide you to enhance your database’s performance and give you insights into measuring and optimizing a PostgreSQL database to achieve better performance. You will be a able to perform various essential database tasks such as bench marking the database and optimizing the server’s memory usage. This book will also help yo
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PostgreSQL High Performance Cookbook. Mastering query optimization, database monitoring, and performance-tuning for PostgreSQL PostgreSQL High Performance Cookbook. Mastering query optimization, database monitoring, and performance-tuning for PostgreSQL
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Placing the reader in the position of a commercial data scientist, this book covers the key attributes to solve real-world problems in areas such as music, financial markets, and global news. Introducing advanced techniques in Spark, it also comprehensively explores the surrounding eco-system with innovative and scalable solutions throughout
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Mastering Spark for Data Science. Lightning fast and scalable data science solutions Mastering Spark for Data Science. Lightning fast and scalable data science solutions
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Java has been one of the most popular languages for developers for several decades and yet the potential of the Java ecosystem still remains untapped when it comes to using JVM-based languages and platforms to solve data science related problems. A variety of tools and libraries are available such as Spark, Hadoop, and Mahout for computation and li
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Java Data Science Cookbook. Explore the power of MLlib, DL4j, Weka, and more Java Data Science Cookbook. Explore the power of MLlib, DL4j, Weka, and more
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Apache Spark is one of the most popular Big Data processing frameworks today, delivering speed, accuracy and real-time results – all in one solution. With this book, you will delve into the world of Apache Spark and learn about the new features introduced in Spark 2, along with the architecture and the associated concepts. A comprehensive gu
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Learning Apache Spark 2. A beginner’s guide to real-time Big Data processing using the Apache Spark framework Learning Apache Spark 2. A beginner’s guide to real-time Big Data processing using the Apache Spark framework
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This book will show data analysis tasks, ranging from data retrieval, cleaning, manipulation, visualization, and storage to complex analysis and modeling using a variety of modules such as NumPy, SciPy, matplotlib, pandas, scikit-learn, and NLTK. You will be able to analyze different kinds of data including numeric, text, time-series, graph, and so
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Python Data Analysis. Data manipulation and complex data analysis with Python - Second Edition Python Data Analysis. Data manipulation and complex data analysis with Python - Second Edition
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This book covers applications of quantitative finance in R. It starts with the basics of quantitative finance and goes to complexity at the end of the book along with a varying degree of R complexity. This will guide you to implement different trading strategies for various financial instruments using basic to complex techniques along with its opti
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Learning Quantitative Finance with R. Implement machine learning, time-series analysis, algorithmic trading and more Learning Quantitative Finance with R. Implement machine learning, time-series analysis, algorithmic trading and more
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Create intelligent apps with vision, speech, language and knowledge capabilities using Microsoft Cognitive Services. Harness the power of all 21 APIs released as part of the platform, and discover how they can be combined to build real-word apps with cognitive capabilities. Learn how to easily add these features for smarter, more human-like applica
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Learning Microsoft Cognitive Services. Click here to enter text Learning Microsoft Cognitive Services. Click here to enter text
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Blockchain is a distributed database that enables permanent, transparent, and secure storage of data. Mastering Blockchain is a comprehensive guide to this leading, cutting-edge technology and its implementation in the real world.
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Mastering Blockchain. Deeper insights into decentralization, cryptography, Bitcoin, and popular Blockchain frameworks Mastering Blockchain. Deeper insights into decentralization, cryptography, Bitcoin, and popular Blockchain frameworks
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Effective Business Intelligence with QuickSight. Boost your business IQ with Amazon QuickSight Effective Business Intelligence with QuickSight. Boost your business IQ with Amazon QuickSight
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Bring data to life using D3.js, the hottest and most powerful web-based data visualization technology on the market today. This second edition cookbook features code samples, helpful illustrations, and over 65 practical recipes to learn from so you can create amazing data visualization with precision and professional efficiency.
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Data Visualization with D3 4.x Cookbook. Visualization Strategies for Tackling Dirty Data - Second Edition Data Visualization with D3 4.x Cookbook. Visualization Strategies for Tackling Dirty Data - Second Edition
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Uncover new approaches to big data visualization to make your analysis more effective and efficient with Big Data Visualization. Featuring in-depth coverage of big data analysis concepts together with industry-proven techniques, you?ll learn how to approach the challenge of big data visualization with confidence, ease and precision.
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Big Data Visualization. Bring scalability and dynamics to your Big Data visualization Big Data Visualization. Bring scalability and dynamics to your Big Data visualization
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Mastering Elastic Stack. Dive into data analysis with a pursuit of mastering ELK Stack on real-world scenarios Mastering Elastic Stack. Dive into data analysis with a pursuit of mastering ELK Stack on real-world scenarios
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QGIS:Becoming a GIS Power User. Master data management, visualization, and spatial analysis techniques in QGIS and become a GIS power user QGIS:Becoming a GIS Power User. Master data management, visualization, and spatial analysis techniques in QGIS and become a GIS power user
Ben Mearns, Alex Mandel, Alexander Bruy, Anita Graser, Víctor Olaya Ferrero
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Splunk: Enterprise Operational Intelligence Delivered. Machine data made accessible Splunk: Enterprise Operational Intelligence Delivered. Machine data made accessible
Derek Mock, Betsy Page Sigman, Paul R. Johnson, Erickson Delgado, Josh Diakun, Ashish Kumar Tulsiram Yadav
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This book will get you to grips with the Spark Python API. You’ll explore how Python can be used with Spark to build scalable and reliable data-intensive applications.
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Go Design Patterns. Best practices in software development and CSP Go Design Patterns. Best practices in software development and CSP
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Scala: Guide for Data Science Professionals. Build robust data pipelines with Scala Scala: Guide for Data Science Professionals. Build robust data pipelines with Scala
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This book will help you leverage Elasticsearch, guiding you through everything from writing and creating customized plugins to extend Elasticsearch to tackling challenges while handling relational data in Elasticsearch. You’ll learn with the help of practical examples in a step-by-step way.
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Mastering Elasticsearch 5.x. Master the intricacies of Elasticsearch 5 and use it to create flexible and scalable search solutions - Third Edition Mastering Elasticsearch 5.x. Master the intricacies of Elasticsearch 5 and use it to create flexible and scalable search solutions - Third Edition
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Deep Learning with Hadoop. Distributed Deep Learning with Large-Scale Data Deep Learning with Hadoop. Distributed Deep Learning with Large-Scale Data
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Learning Kibana 5.0. Exploit the visualization capabilities of Kibana and build powerful interactive dashboards Learning Kibana 5.0. Exploit the visualization capabilities of Kibana and build powerful interactive dashboards
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This book is designed to guide you through TensorFlow and how to use it effectively. You’ll be able to apply it for complex data computations, gain insights into your data, and more. Throughout the book, you’ll work through the recipes and get hands-on experience.
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TensorFlow Machine Learning Cookbook. Over 60 practical recipes to help you master Google’s TensorFlow machine learning library TensorFlow Machine Learning Cookbook. Over 60 practical recipes to help you master Google’s TensorFlow machine learning library
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Elasticsearch 5.x Cookbook. Distributed Search and Analytics - Third Edition Elasticsearch 5.x Cookbook. Distributed Search and Analytics - Third Edition
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Tabular Modeling with SQL Server 2016 Analysis Services Cookbook. Create better operational analytics for your users with these business solutions Tabular Modeling with SQL Server 2016 Analysis Services Cookbook. Create better operational analytics for your users with these business solutions
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Harness the incredible power of Java-based approaches to data science and create new, innovative applications to explore, visualise and analyse big data. With its tutorial approach and step-by-step instructional style, Java for Data Science is the ultimate data science book for Java developers interested in Java-based data science solutions.
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Java for Data Science. Examine the techniques and Java tools supporting the growing field of data science Java for Data Science. Examine the techniques and Java tools supporting the growing field of data science
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This book will get you up to speed with text mining using R. You will explore essential techniques, along with understanding how to create text-processing apps with R.
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Mastering Text Mining with R. Extract and recognize your text data Mastering Text Mining with R. Extract and recognize your text data
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Tableau Cookbook - Recipes for Data Visualization. Click here to enter text Tableau Cookbook - Recipes for Data Visualization. Click here to enter text
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Explore how Python can be applied in scientific computing in Scientific Computing with Python 3. You’ll understand how to implement mathematics with Python, while covering key concepts, useful examples, and expert techniques.
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Scientific Computing with Python 3. Click here to enter text Scientific Computing with Python 3. Click here to enter text
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Fast Data Processing Systems with SMACK Stack. Click here to enter text Fast Data Processing Systems with SMACK Stack. Click here to enter text
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Apache Spark for Data Science Cookbook. Solve real-world analytical problems Apache Spark for Data Science Cookbook. Solve real-world analytical problems
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Practical Business Intelligence. Optimize Business Intelligence for Efficient Data Analysis Practical Business Intelligence. Optimize Business Intelligence for Efficient Data Analysis
Poznaj techniki przetwarzania i analizy danych z książkami o Big Data dostępnymi w księgarni Helion
Nasza kategoria książek o Big Data oferuje bogaty zbiór publikacji, które wprowadzają w świat przetwarzania i analizy ogromnych zbiorów danych. Wśród nich znajdują się pozycje takie jak "Big Data. Najlepsze praktyki budowy skalowalnych systemów obsługi danych w czasie rzeczywistym" oraz "Hadoop. Kompletny przewodnik. Analiza i przechowywanie danych", które są doskonałym wyborem dla osób chcących praktycznie podejść do tematu Big Data. Nasz asortyment obejmuje również zaawansowane publikacje, które umożliwiają pogłębienie wiedzy i rozwijanie umiejętności w zakresie zaawansowanej analizy danych.
Dodatkowo, oferujemy książki skoncentrowane na konkretnych narzędziach i technologiach związanych z Big Data. Wśród nich wyróżniają się tytuły poświęcone Apache Spark i zastosowaniom uczenia maszynowego w przetwarzaniu dużych zbiorów danych. Są to idealne pozycje dla tych, którzy chcą specjalizować się w konkretnych technikach i narzędziach Big Data.
Książki o Big Data - twoje źródło wiedzy o “wielkich danych”
W Helion dbamy o to, aby nasze książki były nie tylko bogatym źródłem wiedzy teoretycznej, ale także praktycznym przewodnikiem, który umożliwia zastosowanie tej wiedzy w realnych warunkach pracy. Dlatego też nasze publikacje zawierają liczne przykłady, studia przypadków oraz praktyczne wskazówki, które pomogą Ci z sukcesem zrealizować projekty związane z Big Data.
Zapraszamy do zapoznania się z naszą ofertą książek o Big Data. W Helion znajdziesz literaturę, która pozwoli Ci nie tylko zrozumieć, ale także efektywnie wykorzystać potencjał “wielkich danych” w Twojej pracy zawodowej. Niezależnie od tego, czy jesteś studentem, początkującym analitykiem czy doświadczonym specjalistą IT, nasze książki mogą stanowić cenne źródło wiedzy i inspiracji. Odkryj razem z nami fascynujący świat Big Data!