Genetic Algorithms and Machine Learning for Programmers

An excellent introduction to the subject, accessible and clearly written but covering a good deal of ground and encouraging the reader to build and experiment with a range of machine learning techniques.

The book seemed good so far, the first project doesn’t mention the #includes in the text but if you go to website for source code works fine and much fun. Reason for the 2 stars is the poor quality of printing I thought it was a fake at first, all black and white prints in on images and headers.

It's a lovely book which guides you carefully through the different level of deep learning. The examples are inspired by real-world problems and help a lot for visibility. The coded examples of the webpage are a little nasty and should be reformated.

Finally, someone who explains this so students can understand it. This is hands down the book you want to start with. The other popular book groking algorithms has a wonderful first chapter but the rest of the book is meh. This book is enlightening all the way through. Thank you for writing it!

I love this textbook and enjoying it so far!