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I am no longer an academic. I had a go at the startup thing and am now a PhD surviving in industry :)

The book has been released (today!) as a paperback, free PDF and free online. You may also fork the content on github if your keen: https://github.com/jbrownlee/CleverAlgorithms

I'm happy to answer any questions.

Some guff from the back cover of the book:

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. Source code and additional resources can be downloaded from the books companion website online at http://www.CleverAlgorithms.com




As a (poor!) Computer Science student I want to give you much props for making a free version available. Just skimmed through a bit and the text seems very readable (good citations too). Hopefully this will finally help me close the gap between knowing the theory behind some AI techniques (especially neural networks) and actually implementing them. I'm certainly adding this to my list of books to get soon-ish.


Great, I hope you find it useful!


I had a quick browse through some of the content, something that caught my eye on page 7, is that the first sentence of each subsection contains the word 'paradigm': "A paradigm that is concerned with the investigation ...", "A paradigm that considers collective intelligence as a behavior that emerges through ...", "Neural Networks are a paradigm that is concerned with the investigation of ...", and "Fuzzy Intelligence is a paradigm that is concerned with the investigation of fuzzy logic". You might consider some rewording there.

Other than that it looks like a really nice introduction, I'll probably keep it on hand as a reference guide.


Nice catch. I just grepped the text and can see what you mean. I've logged an issue for it: https://github.com/jbrownlee/CleverAlgorithms/issues#issue/1...


I looks really nice. I am currently working on the "Introduction to Algorithms" by CLRS book and the MIT courseware. My next book was going to be "AI : A modern approach" by Norvig. But I am now hestiant. Your book looks really nice. And thank you for opening the book. Have you consider creating lectures Kahn style?


Russell and Norvig's "Artificial Intelligence: A Modern Approach" is excellent. I used it in my undergrad, and more recently bought the 3rd edition. For a broader treatment of AI, this book is a must!


Are you allowing others to commit updates to git by adding programming examples, etc?

wikipedia would really benefit from the details/code too!


Sure, why not! I'd love to see where this could go.

Funny you should mention wikipedia. I started out by writing a heap of entries in wikipedia and ended up not being satisfied. Typically bots or random people coming in and messing up my researched and distilled summaries. Also wikipedia is a general audience, I wanted to target researches like me and programmers like the kid I used to be.

The book gave me a more controlled environment, and a permissive license feels like I'm still giving back in a useful way.




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