Clever Algorithms

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Clever Algorithms: Nature-Inspired Programming Recipes

Clever Algorithms: Nature-Inspired Programming Recipes

By Jason Brownlee PhD.

Implementing an Artificial Intelligence algorithm 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 fields of Metaheuristics, Biologically Inspired Computation and Computational Intelligence, described in a complete, consistent, and centralized manner. These standardized descriptions were carefully designed to be accessible, usable, and understandable. Most of the algorithms described were originally inspired by biological and natural systems, such as the adaptive capabilities of genetic evolution and the acquired immune system, and the foraging behaviors of birds, bees, ants and bacteria. 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 the Ruby Programming Language.

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Metaheuristics are hard!

The BENEFITS of this book are...

You MUST have this book if...

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Testimonials

From Random Search to Hopfield Networks: Clever Algorithms has excellent descriptions of AI methods (and code in Ruby): http://t.co/MzQgaQB

— Matt Wood (@mza) January 26, 2011

Bookmarked: cleveralgorithms.com. Thanks @jbrownlee, this is an amazing resource.

— Avi Bryant (@avibryant) April 3, 2011

Oh man - where has this been all my life? Not just the content, but it's *limpid* clear: http://www.cleveralgorithms.com (hat tip @tokumin)

— Rich Grenyer (@rich_) January 26, 2011

Looking forward to reading: http://www.cleveralgorithms.com Was always interested in AI and this book has examples in Ruby!

— Rohit Arondekar (@rohitarondekar) January 26, 2011



Clever Algorithms: Statistical Machine Learning Recipes

Clever Algorithms: Statistical Machine Learning Recipes

By Jason Brownlee PhD.

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.

Click to read online for free (ad supported)

Paperback
soon
PDF
soon
Online
Read now
Contribute
Fork on github.com


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