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Learning Probabilistic Graphical Models in R

Learning Probabilistic Graphical Models in R

by David Bellot

Probabilistic graphical models (PGM, also known as graphical models) are a marriage between probability theory and graph theory. Generally, PGMs use a graph-based representation. Two branches of graphical representations of distributions are commonly used, namely Bayesian networks and Markov networks. R has many packages to implement graphical models.We'll start by showing you how to transform a classical s...

Price:  $27.99  |  Publisher:  Packt Publishing  |  Release:  2016

OpenCV By Example

OpenCV By Example

by Prateek Joshi, David Millan Escriva, Vinicius Godoy

Open CV is a cross-platform, free-for-use library that is primarily used for real-time Computer Vision and image processing. It is considered to be one of the best open source libraries that helps developers focus on constructing complete projects on image processing, motion detection, and image segmentation.Whether you are completely new to the concept of Computer Vision or have a basic understanding of it...

Price:  $38.25  |  Publisher:  Packt Publishing  |  Release:  2016

Python Data Analysis Cookbook

Python Data Analysis Cookbook

by Ivan Idris

Data analysis is a rapidly evolving field and Python is a multi-paradigm programming language suitable for object-oriented application development and functional design patterns. As Python offers a range of tools and libraries for all purposes, it has slowly evolved as the primary language for data science, including topics on: data analysis, visualization, and machine learning.Python Data Analysis Cookbook...

Price:  $34.99  |  Publisher:  Packt Publishing  |  Release:  2016

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:  $29.99  |  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:  $39.99  |  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:  $24.95  |  Publisher:  Packt Publishing  |  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're new to ...

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:  $23.75  |  Publisher:  Packt Publishing  |  Release:  2015

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