I really enjoyed Machine Learning Mastery in R. Great work! The step-by-step approach with massively use of caret package is really simple, effective and useful.
Search results for "Machine Learning"
Siddhartha Roy
My appreciation for Machine Learning has gone up several notches after going through this book! Its written in a lucid, no non-sense manner and is amenable to all practitioners, irrespective of their current levels. I’ll go on to add that this book must be on the bookshelves, personal collections of data scientists and wannabe analytics […]
NG Kok Thiam
An extremely well-written book. The lessons are very well organised and fills with very practical, easy to understand and useful ML code recipes. The book is invaluable to anyone who want to quickly master the techniques of Python Scikit Learn Machine learning library to perform predictive tasks. All the important tasks involved such as data […]
Victor Cutilla
I really have to say that this is the first time I see a clear explanation of how to implement a machine learning project END TO END, and I start now knowing how to put together all the things that I have learn so far.
Pieter Kubben
Machine Learning Mastery by Jason Brownlee is an excellent introduction to a highly important and modern topic. The strongest aspect of the book is the “Yes I Can Do This” feeling you will get while going through the text and examples. I feel that the book may be of even more value with some more explanation […]
Bob Hoyt
Integrating the Machine Learning Mastery approach with WEKA was a very smart next step. Readers can now see practical applications of classification, regression, etc. in one of the most popular ML software programs. I plan to use his book and one of the case studies/projects at the end of the book in an upcoming class. […]
Tom Elders
This book is exactly what it claims to be. I’ve tried many courses, books and tutorials on machine learning before and the math notation has always been a barrier. This book doesn’t avoid the notation, but presents it in a way that programmers will not only understand, bit also realise they’ve been speaking the same […]
Robert Chumley
This is a well written and well thought through book. There is enough information to write machine learning algorithms in any programming language from scratch. I found this to be a quick read and greatly enhanced my understanding of machine learning algorithms.
Doug Schmidt
Machine Learning Mastery is a perfect blend of math, statistics, and computer science contexts packaged in a practical approach to learning the key points of Machine Learning. This is a great book for more than curious Engineers and Manager types who want a clear, rich, and fact-filled summary of the field of Machine Learning.
Howard Schneider
Jason’s book is the best that exists to turn reasonably intelligent individuals with basic programming skills (any language) into sharp machine learning developers.