Reviews

On Nov 29 Michelle Tran wrote: Review of Thoughtful Machine Learning
The book gives a good exposition to various machine learning algorithms that are commonly used and useful engineering caveats. In the preface, Kirk mentioned that the book is aimed for the developer, CTO and business analyst. Therefore the presentation of the content is terse and meant to be useful without going into some of the mathematical depth. Full Review  >

Rating: 2.0

On Nov 11 Matthew Reed wrote: Good idea, but a bit disappointing
I was excited when I happened to see a Machine Learning book which is explicitly test driven. I was somewhat disappointed for a number of reasons. I am glad I looked at it though. Get it if you are a Rubyist, really into the "TDD way", and want a fairly high-level view. Otherwise, I would recommend Toby Segaran's book. Full Review  >

Rating: 3.0

On Nov 5 Brian Drye wrote: Feels Like a First Edition
Unfortunately, the first edition of Thoughtful Machine Learning feels like a first edition. The writing is nothing special, and at times, inconsistent. For example, "Neural Networks" and "Neural Nets" are used interchangeably. More importantly, some of the examples are confusing. The calculations and numbers used in the fraud detection example are not well explained, and may in fact, be incorrect. Full Review  >

Rating: 1.0