CleverAlgorithmsMachineLearning 0,0

A handbook of statistical machine learning algorithms where each algorithm is described consistently to be accessible, usable, and understandable.

h1. Clever Algorithms: Statistical Machine Learning Recipes

!http://www.cleveralgorithms.com/images/CleverAlgorithms_ML_3D_400.jpg!

h2. Overview

Clever Algorithms: Statistical Machine Learning Recipes is an open source book that has the goal to describe a large number of algorithmic techniques from the the field of statistical machine learning in a complete, consistent, and centralized manner such that they are accessible, usable, and understandable. This is a repository for the book project used during the development and ongoing maintenance of the books’ content.

The book will be released for free on the website “CleverAlgorithms.com”:http://cleveralgorithms.com and will be available for purchase as a paperback and ebook.

h3. Book Details

| Title | Clever Algorithms: Statistical Machine Learning Recipes | | Author | Jason Brownlee | | Release | mid 2013 |

h3. Blurb

bq. Implementing an Machine Learning algorithms is difficult. Algorithm descriptions may be incomplete, inconsistent, and distributed across a number of papers, chapters and even websites. This can result in varied interpretations of algorithms, undue attrition of algorithms, and ultimately bad science. This book is an effort to address these issues by providing a handbook of algorithmic recipes drawn from the field of Machine Learning, described in a complete, consistent, and centralized manner. These standardized descriptions were carefully designed to be accessible, usable, and understandable. An encyclopedic algorithm reference, this book is intended for research scientists, engineers, students, and interested amateurs. Each algorithm description provides a working code example in R.

h2. Project

h3. How to Build

Assumes a Linux or Mac workstation with make, Latex such as “TeXLive”:http://www.tug.org/texlive/ or “MacTex”:http://www.tug.org/mactex/ installed and maybe “JabRef”:http://jabref.sourceforge.net/

git clone [email protected]:jbrownlee/CleverAlgorithmsMachineLearning.git

@cd [email protected]

@make [email protected] (creates the file @book/[email protected])

@make [email protected] (to view the PDF on linux) or @make [email protected] (to view the PDF on mac)

h3. Contribute

If you find a typo or a mistake, please email me at “[email protected]”:mailto:[email protected] or clone this project and make, make a change and submit a pull request. I will happily give you credit in the acknowledgments.

h3. Support

The best support you can give to this project is to buy a copy of the paperback and spread the word by writing a review, blog post or tweet.

You might be interested in the previous book that covered Genetic Algorithms, Swarm Intelligence, Neural Networks and related algorithms. See “Clever Algorithms: Nature Inspired Programming Recipes”:https://github.com/jbrownlee/CleverAlgorithms

h2. License

© Copyright 2013 Jason Brownlee. Some Rights Reserved. This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 2.5 Australia License. Creative Commons License

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CleverAlgorithmsMachineLearning

CleverAlgorithmsMachineLearning

A handbook of statistical machine learning algorithms where each algorithm is described consistently to be accessible, usable, and understandable. ...


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