Packt Publishing - ebooki
![Packt Publishing - ebooki](https://static01.helion.com.pl/ebookpoint/img/wydawcy-ikonki/large/packt-publishing.jpg)
-
Big Data Analytics with R. Leverage R Programming to uncover hidden patterns in your Big Data
-
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!
-
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 Scala Machine Learning. Advance your skills in efficient data analysis and data processing using the powerful tools of Scala, Spark, and Hadoop
-
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
-
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
-
OpenStack Sahara Essentials. Integrate, deploy, rapidly configure, and successfully manage your own big data-intensive clusters in the cloud using OpenStack Sahara
-
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
-
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
-
Regression Analysis with Python. Discover everything you need to know about the art of regression analysis with Python, and change how you view data
-
Elasticsearch Server. Leverage Elasticsearch to create a robust, fast, and flexible search solution with ease - Third Edition
-
Real-Time Big Data Analytics. Design, process, and analyze large sets of complex data in real time
-
Advanced Oracle PL/SQL Developer's Guide. Master the advanced concepts of PL/SQL for professional-level certification and learn the new capabilities of Oracle Database 12c - Second Edition
-
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
-
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
-
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
-
Test-Driven Machine Learning. Control your machine learning algorithms using test-driven development to achieve quantifiable milestones
-
Learning Couchbase. Design documents and implement real world e-commerce applications with Couchbase
-
Kibana Essentials. Use the functionalities of Kibana to discover data and build attractive visualizations and dashboards for real-world scenarios
-
Getting Started with Python Data Analysis. Learn to use powerful Python libraries for effective data processing and analysis
-
Infusionsoft Cookbook. Over 88 recipes for effective use of Infusionsoft to mitigate your CRM needs, marketing automation, conducting online business optimally
-
Mastering Machine Learning with R. Master machine learning techniques with R to deliver insights for complex projects
-
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
-
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
-
Python Machine Learning. Learn how to build powerful Python machine learning algorithms to generate useful data insights with this data analysis tutorial
-
Mastering Social Media Mining with R. Extract valuable data from your social media sites and make better business decisions using R
-
Mastering Python Scientific Computing. A complete guide for Python programmers to master scientific computing using Python APIs and tools
-
Apache Spark Graph Processing. Build, process and analyze large-scale graph data effectively with Spark
-
Redis Essentials. Harness the power of Redis to integrate and manage your projects efficiently
-
Clojure for Data Science. Statistics, big data, and machine learning for Clojure programmers
-
Mastering Python for Data Science. Explore the world of data science through Python and learn how to make sense of data
-
Learning YARN. Moving beyond MapReduce - learn resource management and big data processing using YARN
-
Big Data Forensics - Learning Hadoop Investigations. Perform forensic investigations on Hadoop clusters with cutting-edge tools and techniques
-
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
-
Mastering Probabilistic Graphical Models Using Python. Master probabilistic graphical models by learning through real-world problems and illustrative code examples in Python
-
Machine Learning with R. Expert techniques for predictive modeling to solve all your data analysis problems - Second Edition
-
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
-
Mastering matplotlib. A practical guide that takes you beyond the basics of matplotlib and gives solutions to plot complex data
-
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
-
Apache Mahout Essentials. Implement top-notch machine learning algorithms for classification, clustering, and recommendations with Apache Mahout
-
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
-
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
-
Learning Salesforce Visual Workflow. Click your way to automating your various business processes using Salesforce Visual Workflow
-
Mastering Python for Finance. Understand, design, and implement state-of-the-art mathematical and statistical applications used in finance with Python
-
Monitoring Hadoop. Get to grips with the intricacies of Hadoop monitoring using the power of Ganglia and Nagios
-
Scaling Big Data with Hadoop and Solr. Understand, design, build, and optimize your big data search engine with Hadoop and Apache Solr
-
JIRA Essentials. Use the features of JIRA to manage projects and effectively handle bugs and software issues
-
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
-
SAP BusinessObjects Dashboards 4.1 Cookbook. Over 100 simple and incredibly effective recipes to help transform your static business data into exciting dashboards filled with dynamic charts and graphics
-
Learning Apache Mahout. Acquire practical skills in Big Data Analytics and explore data science with Apache Mahout
-
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
-
Salesforce Reporting and Dashboards. Master the art of building successful reports and dashboards with this comprehensive guide
-
Interactive Applications Using Matplotlib
-
Mastering R for Quantitative Finance. Use R to optimize your trading strategy and build up your own risk management system
-
Learning SciPy for Numerical and Scientific Computing. Quick solutions to complex numerical problems in physics, applied mathematics, and science with SciPy
-
Apache Hive Essentials. Immerse yourself on a fantastic journey to discover the attributes of big data by using Hive
-
Learning Hadoop 2. Design and implement data processing, lifecycle management, and analytic workflows with the cutting-edge toolbox of Hadoop 2
-
Mastering Scientific Computing with R. Employ professional quantitative methods to answer scientific questions with a powerful open source data analysis environment
-
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
-
HDInsight Essentials. Learn how to build and deploy a modern big data architecture to empower your business
-
Clojure Data Analysis Cookbook. Dive into data analysis with Clojure through over 100 practical recipes for every stage of the analysis and collection process
-
Learning Highcharts 4. Design eye-catching and interactive JavaScript charts for your web page with Highcharts, one of the leading tools in web charting
-
Learning D3.js Mapping. Build stunning maps and visualizations using D3.js
-
Mastering Hadoop. Go beyond the basics and master the next generation of Hadoop data processing platforms
-
R for Data Science. Learn and explore the fundamentals of data science with R
-
Scala for Machine Learning. Leverage Scala and Machine Learning to construct and study systems that can learn from data
-
Moodle Grad
-
R Machine Learning Essentials. Gain quick access to the machine learning concepts and practical applications using the R development environment
-
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
-
Microsoft Azure Development Cookbook. Over 70 advanced recipes for developing scalable services with the Microsoft Azure platform
-
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
-
Salesforce.com Customization Handbook. Customize Salesforce to automate your business requirements
-
Learning jqPlot. Learn how to create your very own rich and intuitive JavaScript data visualizations using jqPlot
-
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
-
JIRA 6.x Administration Cookbook. Over 100 hands-on recipes to help you efficiently administer, customize, and extend your JIRA 6 implementation
-
Haskell Data Analysis Cookbook. Explore intuitive data analysis techniques and powerful machine learning methods using over 130 practical recipes
-
Learning NumPy Array. Supercharge your scientific Python computations by understanding how to use the NumPy library effectively
-
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
-
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
-
Redmine Plugin Extension and Development. If you’d like to customize Redmine to meet your own precise project management needs, this is the ideal guide to understanding and realizing the full potential of plugins. Full of real-world examples and clear instructions