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Machine Learning with Spark

Machine Learning with Spark

by Nick Pentreath

Apache Spark is a framework for distributed computing that is designed from the ground up to be optimized for low latency tasks and in-memory data storage. It is one of the few frameworks for parallel computing that combines speed, scalability, in-memory processing, and fault tolerance with ease of programming and a flexible, expressive, and powerful API design.This book guides you through the basics of Spa...

Price:  $34.99  |  Publisher:  Packt Publishing  |  Release:  2015

Building Machine Learning Systems with Python, 2nd Edition

Building Machine Learning Systems with Python, 2nd Edition

by Luis Pedro Coelho, Willi Richert

Using machine learning to gain deeper insights from data is a key skill required by modern application developers and analysts alike. Python is a wonderful language to develop machine learning applications. As a dynamic language, it allows for fast exploration and experimentation. With its excellent collection of open source machine learning libraries you can focus on the task at hand while being able to qu...

Price:  $49.99  |  Publisher:  Packt Publishing  |  Release:  2015

Machine Learning with R, 2nd Edition

Machine Learning with R, 2nd Edition

by Brett Lantz

Updated and upgraded to the latest libraries and most modern thinking, Machine Learning with R, Second Edition provides you with a rigorous introduction to this essential skill of professional data science. Without shying away from technical theory, it is written to provide focused and practical knowledge to get you building algorithms and crunching your data, with minimal previous experience.With this book...

Price:  $39.99  |  Publisher:  Packt Publishing  |  Release:  2015

Azure Machine Learning

FREE EBOOK - Azure Machine Learning

by Jeff Barnes

This third ebook in the series introduces Microsoft Azure Machine Learning, a service that a developer can use to build predictive analytics models (using training datasets from a variety of data sources) and then easily deploy those models for consumption as cloud web services. The ebook presents an overview of modern data science theory and principles, the associated workflow, and then covers some of the ...

Publisher:  Microsoft Press  |  Release:  2015

Machine Learning in Python

Machine Learning in Python

by Michael Bowles

Machine Learning in Python shows you how to successfully analyze data using only two core machine learning algorithms, and how to apply them using Python. By focusing on two algorithm families that effectively predict outcomes, this book is able to provide full descriptions of the mechanisms at work, and the examples that illustrate the machinery with specific, hackable code. The algorithms are explained in...

Price:  $25.97  |  Publisher:  Wiley  |  Release:  2015

Machine Learning Projects for .NET Developers

Machine Learning Projects for .NET Developers

by Mathias Brandewinder

Machine Learning Projects for .NET Developers shows you how to build smarter .NET applications that learn from data, using simple algorithms and techniques that can be applied to a wide range of real-world problems. You'll code each project in the familiar setting of Visual Studio, while the machine learning logic uses F#, a language ideally suited to machine learning applications in .NET. If you'...

Price:  $49.99  |  Publisher:  Apress  |  Release:  2015

Predictive Analytics with Microsoft Azure Machine Learning, 2nd Edition

Predictive Analytics with Microsoft Azure Machine Learning, 2nd Edition

by Roger Barga, Valentine Fontama, Wee Hyong Tok

Predictive Analytics with Microsoft Azure Machine Learning, Second Edition is a practical tutorial introduction to the field of data science and machine learning, with a focus on building and deploying predictive models. The book provides a thorough overview of the Microsoft Azure Machine Learning service released for general availability on February 18th, 2015 with practical guidance for building recommend...

Price:  $38.04  |  Publisher:  Apress  |  Release:  2015

Apache Mahout Essentials

Apache Mahout Essentials

by Jayani Withanawasam

Apache Mahout is a scalable machine learning library with algorithms for clustering, classification, and recommendations. It empowers users to analyze patterns in large, diverse, and complex datasets faster and more scalably.This book is an all-inclusive guide to analyzing large and complex datasets using Apache Mahout. It explains complicated but very effective machine learning algorithms simply, in relati...

Price:  $24.99  |  Publisher:  Packt Publishing  |  Release:  2015

Python Machine Learning

Python Machine Learning

by Sebastian Raschka

Machine learning and predictive analytics are transforming the way businesses and other organizations operate. Being able to understand trends and patterns in complex data is critical to success, becoming one of the key strategies for unlocking growth in a challenging contemporary marketplace. Python can help you deliver key insights into your data - its unique capabilities as a language let you build sophi...

Price:  $4.76  |  Publisher:  Packt Publishing  |  Release:  2015

Machine Learning with R Cookbook

Machine Learning with R Cookbook

by Yu-Wei, David Chiu

The R language is a powerful open source functional programming language. At its core, R is a statistical programming language that provides impressive tools to analyze data and create high-level graphics.This book covers the basics of R by setting up a user-friendly programming environment and performing data ETL in R. Data exploration examples are provided that demonstrate how powerful data visualization ...

Price:  $37.89  |  Publisher:  Packt Publishing  |  Release:  2015

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