M. - ebooki
Tytuły autora: M. dostępne w księgarni Ebookpoint
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Introduction to Machine Learning with Python. A Guide for Data Scientists
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Splunk Best Practices. Operational intelligent made simpler
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Tableau: Creating Interactive Data Visualizations. Creating Interactive Data Visualizations
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Hadoop: Data Processing and Modelling. Data Processing and Modelling
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Android High Performance Programming. Click here to enter text
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Big Data Analytics with R. Leverage R Programming to uncover hidden patterns in your Big Data
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Mastering Business Intelligence with MicroStrategy. Master Business Intelligence with Microstrategy 10
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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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Advanced Machine Learning with Python. Solve challenging data science problems by mastering cutting-edge machine learning techniques in Python
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Understanding Compression. Data Compression for Modern Developers
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Simulation for Data Science with R. Effective Data-driven Decision Making
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Mastering Python Data Analysis. Become an expert at using Python for advanced statistical analysis of data using real-world examples
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R: Data Analysis and Visualization. Click here to enter text
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Advanced Splunk. Click here to enter text
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Python: Real-World Data Science. Real-World Data Science
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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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Data Analytics with Hadoop. An Introduction for Data Scientists
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Mastering Parallel Programming with R. Master the robust features of R parallel programming to accelerate your data science computations
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Learning Probabilistic Graphical Models in R. Familiarize yourself with probabilistic graphical models through real-world problems and illustrative code examples in R
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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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Hadoop Real-World Solutions Cookbook. Over 90 hands-on recipes to help you learn and master the intricacies of Apache Hadoop 2.X, YARN, Hive, Pig, Oozie, Flume, Sqoop, Apache Spark, and Mahout - Second Edition
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Mastering .NET Machine Learning. Use machine learning in your .NET applications
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Regression Analysis with Python. Discover everything you need to know about the art of regression analysis with Python, and change how you view data
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Elasticsearch Server. Leverage Elasticsearch to create a robust, fast, and flexible search solution with ease - Third Edition
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Real-Time Big Data Analytics. Design, process, and analyze large sets of complex data in real time
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Learning Predictive Analytics with Python. Click here to enter text
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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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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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R Data Science Essentials. R Data Science Essentials
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Learning Hunk. A quick, practical guide to rapidly visualizing and analyzing your Hadoop data using Hunk
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Python Business Intelligence Cookbook. Leverage the computational power of Python with more than 60 recipes that arm you with the required skills to make informed business decisions
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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 Visualization Cookbook. Visualize data using Python's most popular libraries
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Learning Couchbase. Design documents and implement real world e-commerce applications with Couchbase
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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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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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Mastering Python Data Visualization. Generate effective results in a variety of visually appealing charts using the plotting packages in Python
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Apache Mahout Clustering Designs. Explore clustering algorithms used with Apache Mahout
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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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Mastering Python Scientific Computing. A complete guide for Python programmers to master scientific computing using Python APIs and tools
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Apache Spark Graph Processing. Build, process and analyze large-scale graph data effectively with Spark
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Learning YARN. Moving beyond MapReduce - learn resource management and big data processing using YARN
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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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Mastering matplotlib. A practical guide that takes you beyond the basics of matplotlib and gives solutions to plot complex data
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Sencha Charts Essentials. Create stunning charts and visualizations for both web and mobile applications
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Mastering pandas for Finance. Master pandas, an open source Python Data Analysis Library, for financial data analysis
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Monitoring Hadoop. Get to grips with the intricacies of Hadoop monitoring using the power of Ganglia and Nagios
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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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Natural Language Processing with Java. Explore various approaches to organize and extract useful text from unstructured data using Java
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Interactive Applications Using Matplotlib
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Real-World Hadoop
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Mastering R for Quantitative Finance. Use R to optimize your trading strategy and build up your own risk management system
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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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R Data Visualization Cookbook. Over 80 recipes to analyze data and create stunning visualizations with R
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Learning D3.js Mapping. Build stunning maps and visualizations using D3.js
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Google Compute Engine
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R Graphs Cookbook. Over 70 recipes for building and customizing publication-quality visualizations of powerful and stunning R graphs
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Mathematica Data Visualization. Create and prototype interactive data visualizations using Mathematica
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Practical Machine Learning: A New Look at Anomaly Detection
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Hands-On Programming with R. Write Your Own Functions and Simulations
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Thinking with Data. How to Turn Information into Insights
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Anonymizing Health Data. Case Studies and Methods to Get You Started
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Programming Elastic MapReduce. Using AWS Services to Build an End-to-End Application
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Microsoft System Center Configuration Manager. Deploy a scalable solution by ensuring high availability and disaster recovery using Configuration Manager with this book and
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ZooKeeper. Distributed Process Coordination
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Business Models for the Data Economy
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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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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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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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Oracle Database 12c Backup and Recovery Survival Guide. A comprehensive guide for every DBA to learn recovery and backup solutions
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Learning SPARQL. Querying and Updating with SPARQL 1.1. 2nd Edition
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Real-Time Big Data Analytics: Emerging Architecture
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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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Analyzing the Analyzers. An Introspective Survey of Data Scientists and Their Work
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Disruptive Possibilities: How Big Data Changes Everything
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Getting Started with Oracle Event Processing 11g. Create and develop real-world scenario Oracle CEP applications
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Developing with Couchbase Server. Building Scalable, Flexible Database-Based Applications
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MapReduce Design Patterns. Building Effective Algorithms and Analytics for Hadoop and Other Systems
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QlikView 11 for Developers. This book is smartly built around a practical case study – HighCloud Airlines – to help you gain an in-depth understanding of how to build applications for Business Intelligence using QlikView. A superb hands-on guide
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Big Data Now: 2012 Edition. 2nd Edition
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Getting Started with Storm
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How Data Science Is Transforming Health Care
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The Data Journalism Handbook
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Getting Started with Couchbase Server
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Planning for Big Data
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Getting Started with CouchDB. Extreme Scalability at Your Fingertips
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The Evolution of Data Products
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Big Data Now: Current Perspectives from O'Reilly Radar
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Getting Started with GEO, CouchDB, and Node.js. New Open Source Tools for Location Data
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What Is Data Science?
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Data Mashups in R. A Case Study in Real-World Data Analysis
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21 Recipes for Mining Twitter. Distilling Rich Information from Messy Data
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Head First Data Analysis. A learner's guide to big numbers, statistics, and good decisions
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Beautiful Data. The Stories Behind Elegant Data Solutions
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Harnessing Hibernate
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Enterprise SOA. Designing IT for Business Innovation
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XSLT Cookbook. 2nd Edition
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Web Mapping Illustrated. Using Open Source GIS Toolkits
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Analiza statystyczna z IBM SPSS Statistics
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Cloud Analytics with Microsoft Azure. Build modern data warehouses with the combined power of analytics and Azure
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Learning Kibana 7. Build powerful Elastic dashboards with Kibana's data visualization capabilities - Second Edition
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Big Data Processing with Apache Spark. Efficiently tackle large datasets and big data analysis with Spark and Python
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Tableau 10 Bootcamp. Intensive training for data visualization and dashboarding
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Python for Data Analysis. Data Wrangling with Pandas, NumPy, and IPython. 2nd Edition
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R for Data Science. Import, Tidy, Transform, Visualize, and Model Data
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Clean Data
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R Packages
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Learning Python Data Visualization