FREE EBOOK - Understanding Machine Learning 
by Shai Shalev-Shwartz, Shai Ben-David
The subject of this book is automated learning, or, as we will more often call it, Machine Learning (ML). That is, we wish to program computers so that they can "learn" from input available to them. Roughly speaking, learning is the process of converting experience into expertise or knowledge. The input to a learning algorithm is training data, representing experience, and the output is some exper...
Price: $35.90 | Publisher: Self-publishing | Release: 2014
Big Data, Data Mining, and Machine Learning 
by Jared Dean
Big data is big business. But having the data and the computational power to process it isn't nearly enough to produce meaningful results. Big Data, Data Mining, and Machine Learning: Value Creation for Business Leaders and Practitioners is a complete resource for technology and marketing executives looking to cut through the hype and produce real results that hit the bottom line. Providing an engaging...
Price: $36.60 | Publisher: Wiley | Release: 2014
by Jason Bell
Machine Learning: Hands-On for Developers and Technical Professionals provides hands-on instruction and fully-coded working examples for the most common machine learning techniques used by developers and technical professionals. The book contains a breakdown of each ML variant, explaining how it works and how it is used within certain industries, allowing readers to incorporate the presented techniques into...
Price: $29.16 | Publisher: Wiley | Release: 2014
by Matthew Kirk
Learn how to apply test-driven development (TDD) to machine-learning algorithms - and catch mistakes that could sink your analysis. In this practical guide, author Matthew Kirk takes you through the principles of TDD and machine learning, and shows you how to apply TDD to several machine-learning algorithms, including Naive Bayesian classifiers and Neural Networks.Machine-learning algorithms often have test...
Price: $21.79 | Publisher: O'Reilly Media | Release: 2014
Building Probabilistic Graphical Models with Python
by Kiran R Karkera
With the increasing prominence in machine learning and data science applications, probabilistic graphical models are a new tool that machine learning users can use to discover and analyze structures in complex problems. The variety of tools and algorithms under the PGM framework extend to many domains such as natural language processing, speech processing, image processing, and disease diagnosis. You'v...
Price: $16.99 | Publisher: Packt Publishing | Release: 2014
Mastering Machine Learning with scikit-learn
by Gavin Hackeling
This book examines machine learning models including logistic regression, decision trees, and support vector machines, and applies them to common problems such as categorizing documents and classifying images. It begins with the fundamentals of machine learning, introducing you to the supervised-unsupervised spectrum, the uses of training and test data, and evaluating models. You will learn how to use gener...
Price: $41.48 | Publisher: Packt Publishing | Release: 2014
A Practical Guide to Data Mining for Business and Industry
by Andrea Ahlemeyer-Stubbe, Shirley Coleman
Data mining is well on its way to becoming a recognized discipline in the overlapping areas of IT, statistics, machine learning, and AI. Practical Data Mining for Business presents a user-friendly approach to data mining methods, covering the typical uses to which it is applied. The methodology is complemented by case studies to create a versatile reference book, allowing readers to look for specific method...
Price: $59.99 | Publisher: Wiley | Release: 2014
by Micha Gorelick, Ian Ozsvald
Your Python code may run correctly, but you need it to run faster. By exploring the fundamental theory behind design choices, this practical guide helps you gain a deeper understanding of Python's implementation. You'll learn how to locate performance bottlenecks and significantly speed up your code in high-data-volume programs.How can you take advantage of multi-core architectures or clusters? Or...
Price: $27.05 | Publisher: O'Reilly Media | Release: 2014
IPython Interactive Computing and Visualization Cookbook
by Cyrille Rossant
IPython is at the heart of the Python scientific stack. With its widely acclaimed web-based notebook, IPython is today an ideal gateway to data analysis and numerical computing in Python.IPython Interactive Computing and Visualization Cookbook contains many ready-to-use focused recipes for high-performance scientific computing and data analysis. The first part covers programming techniques, including code q...
Price: $49.43 | Publisher: Packt Publishing | Release: 2014
by Ivan Idris
Dive deeper into data analysis with the flexibility of Python and learn how its extensive range of scientific and mathematical libraries can be used to solve some of the toughest challenges in data analysis. Build your confidence and expertise and develop valuable skills in high demand in a world driven by Big Data with this expert data analysis book.This data science tutorial will help you learn how to eff...
Price: $49.99 | Publisher: Packt Publishing | Release: 2014