Ґері В. Левандовскi - ebooki
Tytuły autora: Ґері В. Левандовскi dostępne w księgarni Ebookpoint
-
Hadoop Blueprints. Click here to enter text
-
Julia for Data Science. high-performance computing simplified
-
Smart Internet of Things Projects. Click here to enter text
-
Spark for Data Science. Click here to enter text
-
Introduction to Machine Learning with Python. A Guide for Data Scientists
-
Splunk Best Practices. Operational intelligent made simpler
-
Naczelny Algorytm. Jak jego odkrycie zmieni nasz świat
-
Hadoop: Data Processing and Modelling. Data Processing and Modelling
-
Learning Splunk Web Framework. Create, extend and publish real time Splunk applications
-
Tableau: Creating Interactive Data Visualizations. Creating Interactive Data Visualizations
-
Android High Performance Programming. Click here to enter text
-
Big Data Analytics with R. Leverage R Programming to uncover hidden patterns in your Big Data
-
Machine Learning for the Web. Gaining insight and intelligence from the internet with Python
-
Mastering Business Intelligence with MicroStrategy. Master Business Intelligence with Microstrategy 10
-
R for Data Science Cookbook. Over 100 hands-on recipes to effectively solve real-world data problems using the most popular R packages and techniques
-
Smarter Decisions - The Intersection of Internet of Things and Decision Science. A comprehensive guide for solving IoT business problems using decision science
-
Advanced Machine Learning with Python. Solve challenging data science problems by mastering cutting-edge machine learning techniques in Python
-
Python Data Analysis Cookbook. Clean, scrape, analyze, and visualize data with the power of Python!
-
Understanding Compression. Data Compression for Modern Developers
-
Learning ArcGIS Runtime SDK for .NET. Build a GIS app Using ArcGIS Runtime SDK
-
Simulation for Data Science with R. Effective Data-driven Decision Making
-
Mastering Python Data Analysis. Become an expert at using Python for advanced statistical analysis of data using real-world examples
-
R: Data Analysis and Visualization. Click here to enter text
-
Python Machine Learning Cookbook. 100 recipes that teach you how to perform various machine learning tasks in the real world
-
Advanced Splunk. Click here to enter text
-
Python: Real-World Data Science. Real-World Data Science
-
Splunk Operational Intelligence Cookbook. Transform Big Data into business-critical insights and rethink operational Intelligence with Splunk - Second Edition
-
Data Analytics with Hadoop. An Introduction for Data Scientists
-
Mastering Parallel Programming with R. Master the robust features of R parallel programming to accelerate your data science computations
-
Apache Spark Machine Learning Blueprints. Develop a range of cutting-edge machine learning projects with Apache Spark using this actionable guide
-
Learning Probabilistic Graphical Models in R. Familiarize yourself with probabilistic graphical models through real-world problems and illustrative code examples in R
-
R Machine Learning By Example. Understand the fundamentals of machine learning with R and build your own dynamic algorithms to tackle complicated real-world problems successfully
-
Mastering .NET Machine Learning. Use machine learning in your .NET applications
-
Learning Responsive Data Visualization. Create stunning data visualizations that look awesome on every device and screen resolutions
-
Learning QGIS. Create great maps and perform geoprocessing tasks with ease - Third Edition
-
Elasticsearch Server. Leverage Elasticsearch to create a robust, fast, and flexible search solution with ease - Third Edition
-
Regression Analysis with Python. Discover everything you need to know about the art of regression analysis with Python, and change how you view data
-
Real-Time Big Data Analytics. Design, process, and analyze large sets of complex data in real time
-
Google Analytics. Integracja i analiza danych
-
Learning Predictive Analytics with Python. Click here to enter text
-
Elasticsearch Essentials. Harness the power of ElasticSearch to build and manage scalable search and analytics solutions with this fast-paced guide
-
Splunk Developer's Guide. Learn the A to Z of building excellent Splunk applications with the latest techniques using this comprehensive guide - Second Edition
-
R Data Science Essentials. R Data Science Essentials
-
Learning Hunk. A quick, practical guide to rapidly visualizing and analyzing your Hadoop data using Hunk
-
Elasticsearch Indexing. How to Improve User’s Search Experience
-
Mathematica Data Analysis. Learn and explore the fundamentals of data analysis with power of Mathematica
-
Monitoring Docker. Monitor your Docker containers and their apps using various native and third-party tools with the help of this exclusive guide!
-
Apache Oozie Essentials. Unleash the power of Apache Oozie to create and manage your big data and machine learning pipelines in one go
-
Python Data Visualization Cookbook. Visualize data using Python's most popular libraries
-
Spark. Zaawansowana analiza danych
-
Hadoop. Komplety przewodnik. Analiza i przechowywanie danych
-
Kibana Essentials. Use the functionalities of Kibana to discover data and build attractive visualizations and dashboards for real-world scenarios
-
Data Analysis with Stata. Explore the big data field and learn how to perform data analytics and predictive modelling in STATA
-
Data Analysis and Business Modeling with Excel 2013. Manage, analyze, and visualize data with Microsoft Excel 2013 to transform raw data into ready to use information
-
Mastering Python Data Visualization. Generate effective results in a variety of visually appealing charts using the plotting packages in Python
-
Creating Stunning Dashboards with QlikView. Bring real business insights to your company through effective and engaging dashboards in QlikView
-
Apache Mahout Clustering Designs. Explore clustering algorithms used with Apache Mahout
-
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
-
Mastering Social Media Mining with R. Extract valuable data from your social media sites and make better business decisions using R
-
Python Machine Learning. Learn how to build powerful Python machine learning algorithms to generate useful data insights with this data analysis tutorial
-
Apache Spark Graph Processing. Build, process and analyze large-scale graph data effectively with Spark
-
Learning YARN. Moving beyond MapReduce - learn resource management and big data processing using YARN
-
Metody i techniki odkrywania wiedzy. Narzędzia CAQDAS w procesie analizy danych jakościowych
-
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
-
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
-
Analiza danych w naukach ścisłych i technice
-
ggplot2 Essentials. Explore the full range of ggplot2 plotting capabilities to create meaningful and spectacular graphs
-
NumPy: Beginner's Guide. Build efficient, high-speed programs using the high-performance NumPy mathematical library
-
Graph Databases. New Opportunities for Connected Data. 2nd Edition
-
Sencha Charts Essentials. Create stunning charts and visualizations for both web and mobile applications
-
Mastering pandas for Finance. Master pandas, an open source Python Data Analysis Library, for financial data analysis
-
Monitoring Hadoop. Get to grips with the intricacies of Hadoop monitoring using the power of Ganglia and Nagios
-
Data Visualization with D3 and AngularJS. Build dynamic and interactive visualizations from real-world data with D3 on AngularJS
-
Learning pandas. Get to grips with pandas - a versatile and high-performance Python library for data manipulation, analysis, and discovery
-
Learning Three.js - the JavaScript 3D Library for WebGL. Create stunning 3D graphics in your browser using the Three.js JavaScript library
-
Natural Language Processing with Java. Explore various approaches to organize and extract useful text from unstructured data using Java
-
Real-time Analytics with Storm and Cassandra. Solve real-time analytics problems effectively using Storm and Cassandra
-
Interactive Applications Using Matplotlib
-
Real-World Hadoop
-
Mastering R for Quantitative Finance. Use R to optimize your trading strategy and build up your own risk management system
-
Learning Hadoop 2. Design and implement data processing, lifecycle management, and analytic workflows with the cutting-edge toolbox of Hadoop 2
-
Three.js Cookbook. Over 80 shortcuts, solutions, and recipes that allow you to create the most stunning visualizations and 3D scenes using the Three.js library
-
R Data Visualization Cookbook. Over 80 recipes to analyze data and create stunning visualizations with R
-
Clojure Data Analysis Cookbook. Dive into data analysis with Clojure through over 100 practical recipes for every stage of the analysis and collection process
-
HDInsight Essentials. Learn how to build and deploy a modern big data architecture to empower your business
-
Learning D3.js Mapping. Build stunning maps and visualizations using D3.js
-
Uczenie maszynowe dla programistów
-
Badanie danych. Raport z pierwszej linii działań
-
Highcharts Essentials. Create interactive data visualization charts with the Highcharts JavaScript library
-
Python Data Analysis. Learn how to apply powerful data analysis techniques with popular open source Python modules
-
R Graphs Cookbook. Over 70 recipes for building and customizing publication-quality visualizations of powerful and stunning R graphs
-
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
-
Mathematica Data Visualization. Create and prototype interactive data visualizations using Mathematica
-
R Graph Essentials
-
Using Flume. Flexible, Scalable, and Reliable Data Streaming
-
Python 3 Text Processing with NLTK 3 Cookbook
-
Mastering D3.js. Bring your data to life by creating and deploying complex data visualizations with D3.js
-
Practical Machine Learning: A New Look at Anomaly Detection
-
Haskell Data Analysis Cookbook. Explore intuitive data analysis techniques and powerful machine learning methods using over 130 practical recipes
-
Mastering Clojure Data Analysis. If you’d like to apply your Clojure skills to performing data analysis, this is the book for you. The example based approach aids fast learning and covers basic to advanced topics. Get deeper into your data
-
Pig Design Patterns. Simplify Hadoop programming to create complex end-to-end Enterprise Big Data solutions with Pig
-
Analiza i prezentacja danych w Microsoft Excel. Vademecum Walkenbacha. Wydanie II
-
Metoda Lean Analytics. Zbuduj sukces startupu w oparciu o analizę danych
-
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
-
Optimizing Hadoop for MapReduce. This book is the perfect introduction to sophisticated concepts in MapReduce and will ensure you have the knowledge to optimize job performance. This is not an academic treatise; it’s an example-driven tutorial for the real world
-
Getting Started with Flurry Analytics. In today's mobile app market you need to track your applications and analyze user data to give yourself the competitive edge. Flurry Analytics will do all that and more, and this book is the perfect developer's guide
-
Programming Elastic MapReduce. Using AWS Services to Build an End-to-End Application
-
Microsoft System Center Configuration Manager. Deploy a scalable solution by ensuring high availability and disaster recovery using Configuration Manager with this book and
-
ZooKeeper. Distributed Process Coordination
-
Excel 2013 PL. Kurs
-
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
-
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
-
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
-
Doing Data Science. Straight Talk from the Frontline
-
On Being a Data Skeptic
-
Tabele i wykresy przestawne od A do Z - dynamiczna analiza dużych zbiorów danych
-
Clean Data
-
NumPy Cookbook
-
R Packages
-
Big Data Analytics with R and Hadoop. If you're an R developer looking to harness the power of big data analytics with Hadoop, then this book tells you everything you need to integrate the two. You'll end up capable of building a data analytics engine with huge potential