Preview of Clever Algorithms: Statistical Machine Learning Recipes

I am feverishness working to complete a first draft of my next book in the Clever Algorithm series:

Clever Algorithms: Statistical Machine Learning Recipes

You can take a sneak peek at some early chapters online. I am developing the project in plain view on github, take a look at my source R files or LaTeX files if you're into that sort of thing.

The book will provide a treatment of the field of Machine Learning much like the first book provided a treatment of the field of Computational Intelligence and Biologically Inspired Computation.

Here is a preliminary blurb:

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.

I have started to distribute chapters to copy editors and technical editors. I'm also trying hard to nail down the table of contents and specifically which algorithms will appear in the text.

If you know anyone who might be interested in technical editing or any editing, get into contact: jasonb@CleverAlgorithms.com