eBooki
W kategorii eBooki znajdziesz książki w postaci elektronicznej, w formie PDF, ePub oraz mobi. Po zakupie e-booka będzie on dostępny w Bibliotece na koncie użytkownika. Książki przeczytasz na laptopie, tablecie, smartfonie lub czytniku ebooków (Kindle, Pocketbook, inkBOOK, Prestigio i innych). Więcej na temat wykorzystania i zabezpieczenia eBooków znajdziesz na stronie "Przewodnik po eBookach".
Ebooki dostępne w księgarni Ebookpoint
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Apache Oozie Essentials. Unleash the power of Apache Oozie to create and manage your big data and machine learning pipelines in one go
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Natural Language Processing with Java. Explore various approaches to organize and extract useful text from unstructured data using Java
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Machine Learning with R. R gives you access to the cutting-edge software you need to prepare data for machine learning. No previous knowledge required – this book will take you methodically through every stage of applying machine learning
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Mastering Scientific Computing with R. Employ professional quantitative methods to answer scientific questions with a powerful open source data analysis environment
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Smarter Decisions - The Intersection of Internet of Things and Decision Science. A comprehensive guide for solving IoT business problems using decision science
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Learning Highcharts 4. Design eye-catching and interactive JavaScript charts for your web page with Highcharts, one of the leading tools in web charting
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Mastering Text Mining with R. Extract and recognize your text data
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Principles of Data Science. Understand, analyze, and predict data using Machine Learning concepts and tools - Second Edition
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Learning YARN. Moving beyond MapReduce - learn resource management and big data processing using YARN
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Mastering Social Media Mining with R. Extract valuable data from your social media sites and make better business decisions using R
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Oracle Siebel CRM 8 Developer's Handbook. Configure, Automate, and Extend Siebel CRM applications with this Oracle book and
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Microsoft Dynamics CRM 2011 Customization & Configuration (MB2-866) Certification Guide. A practical guide to customizing and configuring Microsoft Dynamics CRM 2011 focused on helping you pass the certification exam
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R: Data Analysis and Visualization. Click here to enter text
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Salesforce Reporting and Dashboards. Master the art of building successful reports and dashboards with this comprehensive guide
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Clojure Data Analysis Cookbook. Dive into data analysis with Clojure through over 100 practical recipes for every stage of the analysis and collection process
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Large Scale Machine Learning with Python. Click here to enter text
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Android High Performance Programming. Click here to enter text
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Learning Jupyter. Select, Share, Interact and Integrate with Jupyter Not
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Minitab Cookbook. With over 110 practical recipes, this is the ideal book for all statisticians who want to explore the vast capabilities of Minitab to organize data, analyze it, and visualize it with impactful graphs
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NumPy: Beginner's Guide. Build efficient, high-speed programs using the high-performance NumPy mathematical library
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Learning pandas. Get to grips with pandas - a versatile and high-performance Python library for data manipulation, analysis, and discovery
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Oracle Database 12c Backup and Recovery Survival Guide. A comprehensive guide for every DBA to learn recovery and backup solutions
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Mastering Data Analysis with R. Gain sharp insights into your data and solve real-world data science problems with R—from data munging to modeling and visualization
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Building a Recommendation System with R. Learn the art of building robust and powerful recommendation engines using R
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Splunk: Enterprise Operational Intelligence Delivered. Machine data made accessible
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Elasticsearch Essentials. Harness the power of ElasticSearch to build and manage scalable search and analytics solutions with this fast-paced guide
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Mastering matplotlib. A practical guide that takes you beyond the basics of matplotlib and gives solutions to plot complex data
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Mastering Adobe Captivate 6. Take your e-learning content to the next level with this fantastic guide to mastering Adobe Captivate. You\'ll learn by completing three sample projects that cover everything. If you can use Windows or Mac you can do this course
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KNIME Essentials. Perform accurate data analysis using the power of KNIME
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Learning Apache Mahout. Acquire practical skills in Big Data Analytics and explore data science with Apache Mahout
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Microsoft Azure Machine Learning. Explore predictive analytics using step-by-step tutorials and build models to make prediction in a jiffy with a few mouse clicks
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Getting Started with Oracle Event Processing 11g. Create and develop real-world scenario Oracle CEP applications
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R Machine Learning Essentials. Gain quick access to the machine learning concepts and practical applications using the R development environment
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Infusionsoft Cookbook. Over 88 recipes for effective use of Infusionsoft to mitigate your CRM needs, marketing automation, conducting online business optimally
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Mastering RethinkDB. Master the skills of building real-time apps dramatically easier with open source, scalable database - RethinkDB
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Advanced Machine Learning with Python. Solve challenging data science problems by mastering cutting-edge machine learning techniques in Python
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Getting Started with Python Data Analysis. Learn to use powerful Python libraries for effective data processing and analysis
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Creating Stunning Dashboards with QlikView. Bring real business insights to your company through effective and engaging dashboards in QlikView
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Kibana Essentials. Use the functionalities of Kibana to discover data and build attractive visualizations and dashboards for real-world scenarios
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Scaling Big Data with Hadoop and Solr. Understand, design, build, and optimize your big data search engine with Hadoop and Apache Solr
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OpenGL Data Visualization Cookbook. Over 35 hands-on recipes to create impressive, stunning visuals for a wide range of real-time, interactive applications using OpenGL
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Microsoft SharePoint 2013 Disaster Recovery Guide. Learn everything you need to know to design and implement a solid disaster recovery plan for SharePoint 2013
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Smart Internet of Things Projects. Click here to enter text
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JIRA Essentials. Use the features of JIRA to manage projects and effectively handle bugs and software issues
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Tableau Cookbook - Recipes for Data Visualization. Click here to enter text
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Spark Cookbook. With over 60 recipes on Spark, covering Spark Core, Spark SQL, Spark Streaming, MLlib, and GraphX libraries this is the perfect Spark book to always have by your side
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Principles of Data Science. Mathematical techniques and theory to succeed in data-driven industries
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R: Recipes for Analysis, Visualization and Machine Learning. Click here to enter text
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Business Intelligence with MicroStrategy Cookbook. Over 90 practical, hands-on recipes to help you build your MicroStrategy business intelligence project, including more than a 100 screencasts with this book and
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Apache Hive Essentials. Immerse yourself on a fantastic journey to discover the attributes of big data by using Hive
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Mathematica Data Analysis. Learn and explore the fundamentals of data analysis with power of Mathematica
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Data Visualization with D3 and AngularJS. Build dynamic and interactive visualizations from real-world data with D3 on AngularJS
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Bayesian Analysis with Python. Click here to enter text
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Elasticsearch Indexing. How to Improve User’s Search Experience
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OpenStack Sahara Essentials. Integrate, deploy, rapidly configure, and successfully manage your own big data-intensive clusters in the cloud using OpenStack Sahara
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Learning jqPlot. Learn how to create your very own rich and intuitive JavaScript data visualizations using jqPlot
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Learning Three.js - the JavaScript 3D Library for WebGL. Create stunning 3D graphics in your browser using the Three.js JavaScript library
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Apache Spark Machine Learning Blueprints. Develop a range of cutting-edge machine learning projects with Apache Spark using this actionable guide
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Microsoft Azure Development Cookbook. Over 70 advanced recipes for developing scalable services with the Microsoft Azure platform
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Getting Started with Simulink. Written by an experienced engineer, this book will help you utilize the great user-friendly features of Simulink to advance your modeling, testing, and interfacing skills. Packed with illustrations and step-by-step walkthroughs
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Python: Real World Machine Learning. Take your Python Machine learning skills to the next level
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Pentaho Data Integration Beginner's Guide. Get up and running with the Pentaho Data Integration tool using this hands-on, easy-to-read guide with this book and ebook - Second Edition
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Scala: Guide for Data Science Professionals. Build robust data pipelines with Scala
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JIRA Development Cookbook. Develop and customize plugins, program workflows, work on custom fields, master JQL functions, and more to effectively customize, manage, and extend JIRA
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Test-Driven Machine Learning. Control your machine learning algorithms using test-driven development to achieve quantifiable milestones
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Apache Spark for Data Science Cookbook. Solve real-world analytical problems
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Splunk Developer's Guide. Learn the A to Z of building excellent Splunk applications with the latest techniques using this comprehensive guide - Second Edition
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Hadoop: Data Processing and Modelling. Data Processing and Modelling
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Learning Hadoop 2. Design and implement data processing, lifecycle management, and analytic workflows with the cutting-edge toolbox of Hadoop 2
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Apache Mahout Essentials. Implement top-notch machine learning algorithms for classification, clustering, and recommendations with Apache Mahout
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Learning Bayesian Models with R. Become an expert in Bayesian Machine Learning methods using R and apply them to solve real-world big data problems
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Practical Data Analysis. Pandas, MongoDB, Apache Spark, and more - Second Edition
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Mastering Probabilistic Graphical Models Using Python. Master probabilistic graphical models by learning through real-world problems and illustrative code examples in Python
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Monitoring Docker. Monitor your Docker containers and their apps using various native and third-party tools with the help of this exclusive guide!
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Python Data Analysis Cookbook. Clean, scrape, analyze, and visualize data with the power of Python!
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IPython Interactive Computing and Visualization Cookbook. Harness IPython for powerful scientific computing and Python data visualization with this collection of more than 100 practical data science recipes
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Learning NumPy Array. Supercharge your scientific Python computations by understanding how to use the NumPy library effectively
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Splunk Operational Intelligence Cookbook. Transform Big Data into business-critical insights and rethink operational Intelligence with Splunk - Second Edition
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Mastering Python Scientific Computing. A complete guide for Python programmers to master scientific computing using Python APIs and tools
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Customer Success with Microsoft Dynamics Sure Step. Having invested in Microsoft Dynamics, your enterprise will want to make a success of it, which is where this guide to Sure Step comes in, teaching you how to apply the methodologies to ensure optimum results
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Python 3 Text Processing with NLTK 3 Cookbook
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Real-time Analytics with Storm and Cassandra. Solve real-time analytics problems effectively using Storm and Cassandra
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Mastering D3.js. Bring your data to life by creating and deploying complex data visualizations with D3.js
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Microsoft Dynamics CRM 2011 Applications (MB2-868) Certification Guide. A practical guide on how to use and manage Microsoft Dynamics CRM 2011 that focuses on helping you to pass the Microsoft certification exam
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Building Machine Learning Systems with Python. Expand your Python knowledge and learn all about machine-learning libraries in this user-friendly manual. ML is the next big breakthrough in technology and this book will give you the head-start you need
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Practical Data Analysis. For small businesses, analyzing the information contained in their data using open source technology could be game-changing. All you need is some basic programming and mathematical skills to do just that
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Data Analysis with Stata. Explore the big data field and learn how to perform data analytics and predictive modelling in STATA
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QlikView for Developers Cookbook. Take your QlikView training to the next level with this brilliant book that's packed with recipes which progress from intermediate to advanced. The step-by step-approach makes learning easy and enjoyable
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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
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matplotlib Plotting Cookbook. Discover how easy it can be to create great scientific visualizations with Python. This cookbook includes over sixty matplotlib recipes together with clarifying explanations to ensure you can produce plots of high quality
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Mathematica Data Visualization. Create and prototype interactive data visualizations using Mathematica
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Python: Real-World Data Science. Real-World Data Science
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Simulation for Data Science with R. Effective Data-driven Decision Making
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Learning Predictive Analytics with Python. Click here to enter text
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Data Augmentation with Python. Enhance deep learning accuracy with data augmentation methods for image, text, audio, and tabular data
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Data Ingestion with Python Cookbook. A practical guide to ingesting, monitoring, and identifying errors in the data ingestion process
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Data Modeling with Snowflake. A practical guide to accelerating Snowflake development using universal data modeling techniques
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Bayesian Analysis with Python. A practical guide to probabilistic modeling - Third Edition
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Machine Learning Infrastructure and Best Practices for Software Engineers. Take your machine learning software from a prototype to a fully fledged software system
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Managing Data Integrity for Finance. Discover practical data quality management strategies for finance analysts and data professionals
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MATLAB for Machine Learning. Unlock the power of deep learning for swift and enhanced results - Second Edition
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MLOps with Red Hat OpenShift. A cloud-native approach to machine learning operations
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Principles of Data Science. A beginner's guide to essential math and coding skills for data fluency and machine learning - Third Edition
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Cracking the Data Science Interview. Unlock insider tips from industry experts to master the data science field
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Data-Centric Machine Learning with Python. The ultimate guide to engineering and deploying high-quality models based on good data
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AWS Certified Machine Learning - Specialty (MLS-C01) Certification Guide. The ultimate guide to passing the MLS-C01 exam on your first attempt - Second Edition
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Azure Data Factory Cookbook. Build ETL, Hybrid ETL, and ELT pipelines using ADF, Synapse Analytics, Fabric and Databricks - Second Edition
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Building Interactive Dashboards in Microsoft 365 Excel. Harness the new features and formulae in M365 Excel to create dynamic, automated dashboards
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Data Cleaning with Power BI. The definitive guide to transforming dirty data into actionable insights
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Kibana 8.x - A Quick Start Guide to Data Analysis. Learn about data exploration, visualization, and dashboard building with Kibana
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Learn Microsoft Fabric. A practical guide to performing data analytics in the era of artificial intelligence
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Transformers for Natural Language Processing and Computer Vision. Explore Generative AI and Large Language Models with Hugging Face, ChatGPT, GPT-4V, and DALL-E 3 - Third Edition
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Machine Learning with Python. Unlocking AI Potential with Python and Machine Learning
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Engineering Data Mesh in Azure Cloud. Implement data mesh using Microsoft Azure's Cloud Adoption Framework
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The Definitive Guide to Data Integration. Unlock the power of data integration to efficiently manage, transform, and analyze data
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AWS Certified Security - Specialty (SCS-C02) Exam Guide. Get all the guidance you need to pass the AWS (SCS-C02) exam on your first attempt - Second Edition
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Azure Data Engineer Associate Certification Guide. Ace the DP-203 exam with advanced data engineering skills - Second Edition
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Deep Learning for Time Series Cookbook. Use PyTorch and Python recipes for forecasting, classification, and anomaly detection
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Fundamentals of Analytics Engineering. An introduction to building end-to-end analytics solutions
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Getting Started with DuckDB. A practical guide for accelerating your data science, data analytics, and data engineering workflows