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Zpracování dat elektronické knihy

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  • Big Data Analytics with Java

    Data analysis, visualization & machine learning techniques

    podle RAJAT MEHTA ...
    Learn the basics of analytics on big data using Java, machine learning and other big data toolsKey FeaturesAcquire real-world set of tools for building enterprise level data science applicationsSurpasses the barrier of other languages in data science and learn create useful object-oriented codesExtensive use of Java compliant big data tools like apache spark, Hadoop, etc.Book DescriptionThis book ... Přečtěte si více

    914,39 Kč nebo zdarma s Kobo Plus

  • Transitions of the Immutable: Reflections on Public Education in the 21st Century

    Série série Education (R0)
    Transitions of the Immutable: Reflections on Public Education in the 21st Century is a compelling and urgent call to rethink the role of the School in our rapidly changing world. Across three concise and thoughtful working papers, this work explores the challenges facing public education systems—rigid and outdated- against a backdrop of globalization, cultural diversity, technological disruption, ... Přečtěte si více

    2 398,39 Kč

  • Mastering Apache Storm

    Real-time big data streaming using Kafka, Hbase and Redis

    podle Ankit Jain ...
    Master the intricacies of Apache Storm and develop real-time stream processing applications with easeKey Features\[\*\] Exploit the various real-time processing functionalities offered by Apache Storm such as parallelism, data partitioning, and more\[\*\] Integrate Storm with other Big Data technologies like Hadoop, HBase, and Apache Kafka\[\*\] An easy-to-understand guide to effortlessly create ... Přečtěte si více

    914,39 Kč nebo zdarma s Kobo Plus

  • Mastering Machine Learning with Spark 2.x

    Harness the potential of machine learning, through spark

    Unlock the complexities of machine learning algorithms in Spark to generate useful data insights through this data analysis tutorialKey Features\[\] Process and analyze big data in a distributed and scalable way\[\] Write sophisticated Spark pipelines that incorporate elaborate extraction\[\] Build and use regression models to predict flight delaysBook DescriptionThe purpose of machine learning is ... Přečtěte si více

    914,39 Kč nebo zdarma s Kobo Plus

  • Learning Spark SQL

    Architect streaming analytics and machine learning solutions

    podle Aurobindo Sarkar ...
    Design, implement, and deliver successful streaming applications, machine learning pipelines and graph applications using Spark SQL APIKey Features\[\*\] Learn about the design and implementation of streaming applications, machine learning pipelines, deep learning, and large-scale graph processing applications using Spark SQL APIs and Scala.\[\*\] Learn data exploration, data munging, and how to ... Přečtěte si více

    1 008,89 Kč nebo zdarma s Kobo Plus

  • Effective Business Intelligence with QuickSight

    Boost your business IQ with Amazon QuickSight

    podle Rajesh Nadipalli ...
    From data to actionable business insights using Amazon QuickSight!Key Features\[\*\] A practical hands-on guide to improving your business with the power of BI and Quicksight\[\*\] Immerse yourself with an end-to-end journey for effective analytics using QuickSight and related services\[\*\] Packed with real-world examples with Solution Architectures needed for a cloud-powered Business ... Přečtěte si více

    803,69 Kč nebo zdarma s Kobo Plus

  • Getting Started with Julia

    podle Ivo Balbaert ...
    About This BookWork with Julia in a multi-core, distributed, and networked environmentLearn the techniques to create blazingly fast programs with JuliaThe book walks you through various practical examples to get to grips with JuliaWho This Book Is ForThis book is for you if you are a data scientist or working on any technical or scientific computation projects. The book assumes you have a basic ... Přečtěte si více

    693,89 Kč nebo zdarma s Kobo Plus

  • Principles of Data Science

    Mathematical techniques and theory to succeed in data-driven industries

    podle Sinan Ozdemir ...
    Learn the techniques and math you need to start making sense of your dataKey Features\[\*\] Enhance your knowledge of coding with data science theory for practical insight into data science and analysis\[\*\] More than just a math class, learn how to perform real-world data science tasks with R and Python\[\*\] Create actionable insights and transform raw data into tangible valueBook ... Přečtěte si více

    803,69 Kč nebo zdarma s Kobo Plus

  • Practical Business Intelligence

    Optimize Business Intelligence for Efficient Data Analysis

    podle Ahmed Sherif ...
    Learn to get the most out of your business data to optimize your businessKey Features\[\*\] This book will enable and empower you to break free of the shackles of spreadsheets\[\*\] Learn to make informed decisions using the data at hand with this highly practical, comprehensive guide\[\*\] This book includes real-world use cases that teach you how analytics can be put to work to optimize your ... Přečtěte si více

    914,39 Kč nebo zdarma s Kobo Plus

  • Scientific Computing with Python 3

    An example-rich, comprehensive guide for all of your Python computational needs

    An example-rich, comprehensive guide for all of your Python computational needsKey Features\[\*\] Your ultimate resource for getting up and running with Python numerical computations\[\*\] Explore numerical computing and mathematical libraries using Python 3.x code with SciPy and NumPy modules\[\*\] A hands-on guide to implementing mathematics with Python, with complete coverage of all the key ... Přečtěte si více

    914,39 Kč nebo zdarma s Kobo Plus

  • Learning Jupyter 5

    Explore interactive computing using Python, Java, JavaScript, R, Julia, and JupyterLab

    podle Toomey ...
    Create and share livecode, equations, visualizations, and explanatory text, in both a single document and a web browser with JupyterKey FeaturesLearn how to use Jupyter 5.x features such as cell tagging and attractive table stylesLeverage big data tools and datasets with different Python packagesExplore multiple-user Jupyter Notebook serversBook DescriptionThe Jupyter Notebook allows you to create ... Přečtěte si více

    725,39 Kč nebo zdarma s Kobo Plus

  • Big Data Architect???s Handbook

    A guide to building proficiency in tools and systems used by leading big data experts

    A comprehensive end-to-end guide that gives hands-on practice in big data and Artificial IntelligenceKey FeaturesLearn to build and run a big data application with sample codeExplore examples to implement activities that a big data architect performsUse Machine Learning and AI for structured and unstructured dataBook DescriptionThe big data architects are the “masters” of data, and hold high value ... Přečtěte si více

    1 008,89 Kč nebo zdarma s Kobo Plus

  • Apache Hive Essentials

    Essential techniques to help you process, and get unique insights from, big data

    podle Dayong Du ...
    This book takes you on a fantastic journey to discover the attributes of big data using Apache Hive. Key FeaturesGrasp the skills needed to write efficient Hive queries to analyze the Big DataDiscover how Hive can coexist and work with other tools within the Hadoop ecosystemUses practical, example-oriented scenarios to cover all the newly released features of Apache Hive 2.3.3Book DescriptionIn ... Přečtěte si více

    582,39 Kč nebo zdarma s Kobo Plus

  • Hands-On Data Visualization with Bokeh

    Interactive web plotting for Python using Bokeh

    podle Kevin Jolly ...
    Learn how to create interactive and visually aesthetic plots using the Bokeh package in Python Key FeaturesA step by step approach to creating interactive plots with BokehGo from installation all the way to deploying your very own Bokeh applicationWork with a real time datasets to practice and create your very own plots and applicationsBook DescriptionAdding a layer of interactivity to your plots ... Přečtěte si více

    582,39 Kč nebo zdarma s Kobo Plus

  • Mastering Geospatial Analysis with Python

    Explore GIS processing and learn to work with GeoDjango, CARTOframes and MapboxGL-Jupyter

    Explore GIS processing and learn to work with various tools and libraries in Python. Key Features\[\*\] Analyze and process geospatial data using Python libraries such as; Anaconda, GeoPandas\[\*\] Leverage new ArcGIS API to process geospatial data for the cloud.\[\*\] Explore various Python geospatial web and machine learning frameworks.Book DescriptionPython comes with a host of open source ... Přečtěte si více

    914,39 Kč nebo zdarma s Kobo Plus

  • Cloud Analytics with Google Cloud Platform

    An end-to-end guide to processing and analyzing big data using Google Cloud Platform

    podle Sanket Thodge ...
    Combine the power of analytics and cloud computing for faster and efficient insightsKey Features\[\*\]Master the concept of analytics on the cloud: and how organizations are using it\[\*\]Learn the design considerations and while applying a cloud analytics solution\[\*\]Design an end-to-end analytics pipeline on the cloudBook DescriptionWith the ongoing data explosion, more and more organizations ... Přečtěte si více

    725,39 Kč nebo zdarma s Kobo Plus

  • Contemporary Perspectives in Data Mining

    Série Kniha 5 - Contemporary Perspectives in Data Mining
    The series, Contemporary Perspectives in Data Mining, is composed of blind refereed scholarly research methods and applications of data mining. The series is targeted both at the academic community, as well as the business practitioner. Data mining seeks to discover knowledge from vast amounts of data with the use of statistical and mathematical techniques. The knowledge is extracted from this ... Přečtěte si více

    910,69 Kč

  • SciPy Recipes

    A cookbook with over 110 proven recipes for performing mathematical and scientific computations

    Tackle the most sophisticated problems associated with scientific computing and data manipulation using SciPyKey Features\[\*\] Covers a wide range of data science tasks using SciPy, NumPy, pandas, and matplotlib\[\*\]Effective recipes on advanced scientific computations, statistics, data wrangling, data visualization, and more\[\*\]A must-have book if you're looking to solve your data-related ... Přečtěte si více

    646,19 Kč nebo zdarma s Kobo Plus

  • R Data Analysis Projects

    Build end to end analytics systems to get deeper insights from your data

    Get valuable insights from your data by building data analysis systems from scratch with R. Key FeaturesA handy guide to take your understanding of data analysis with R to the next levelReal-world projects that focus on problems in finance, network analysis, social media, and moreFrom data manipulation to analysis to visualization in R, this book will teach you everything you need to know about ... Přečtěte si více

    914,39 Kč nebo zdarma s Kobo Plus

  • Pandas Cookbook

    Recipes for Scientific Computing, Time Series Analysis and Data Visualization using Python

    Publisher s Note: A new second edition, updated completely for pandas 1.x with additional chapters, has now been published. This edition from 2017 is outdated and is based on pandas 0.20. Over 95 hands-on recipes to leverage the power of pandas for efficient scientific computation and data analysisKey FeaturesUse the power of pandas 0.20 to solve most complex scientific computing problems with ... Přečtěte si více

    914,39 Kč nebo zdarma s Kobo Plus

  • Learning Cypher

    podle Onofrio Panzarino ...
    An easy-to-follow guide full of tips and examples of real-world applications. In each chapter, a thorough example will show you the concepts in action, followed by a detailed explanation. This book is intended for those who want to learn how to create, query, and maintain a graph database, or who want to migrate to a graph database from SQL. It would be helpful to have some familiarity with Java ... Přečtěte si více

    490,19 Kč nebo zdarma s Kobo Plus

  • Splunk Best Practices

    Operational intelligent made simpler

    Design, implement, and publish custom Splunk applications by following best practicesKey Features\[\*\] This is the most up-to-date guide on the market and will help you finish your tasks faster, easier, and more efficiently.\[\*\] Highly practical guide that addresses common and not-so-common pain points in Splunk.\[\*\] Want to explore shortcuts to perform tasks more efficiently with Splunk? ... Přečtěte si více

    803,69 Kč nebo zdarma s Kobo Plus

  • Learning ArcGIS Runtime SDK for .NET

    Build a GIS app Using ArcGIS Runtime SDK

    podle Ron Vincent ...
    Learn how to build native, cross-platform mapping apps with this comprehensive and practical guide, using the MVVM patternKey Features\[\*\] Enhance the user experience with the power of ArcGIS runtime SDK for .NET.\[\*\] This clear, well segregated book has all the information you need on ArcGIS Runtime SDK. Just name it—this book has it!\[\*\] This highly practical book empowers you to build ... Přečtěte si více

    803,69 Kč nebo zdarma s Kobo Plus

  • Big Data Analytics with R

    Leverage R Programming to uncover hidden patterns in your Big Data

    podle Simon Walkowiak ...
    Utilize R to uncover hidden patterns in your Big Data Key Features\[\* \] Perform computational analyses on Big Data to generate meaningful results\[\*\] Get a practical knowledge of R programming language while working on Big Data platforms like Hadoop, Spark, H2O and SQL/NoSQL databases,\[\*\] Explore fast, streaming, and scalable data analysis with the most cutting-edge technologies in the ... Přečtěte si více

    1 008,89 Kč nebo zdarma s Kobo Plus