Machine Learning

The book covers a wide range of topics It is a very good book for an overall idea of the subject and for an introductory course. The advantage is that each chapter has a section on "Further Reading" which has lists of more advanced material on each topic for those who want to learn the subject thoroughly and mathematically. Overall a very good book

This was my first machine learning text book after Andrew Ng course .the book provides good introductory machine learning algorithm along with proof like gradient descent, maximum likelihood principle which I found very useful along with pseudo code .definitely recommended to kick-start your journey as it is short book with less math and more intuition behind the algorithm which is very useful to get a foundation for further study.

PDF is free online but hard copies are always welcome. Good book to get started on ML as well. A little too much if you don't have a good math or CS background but otherwise for people working already in the industry, this can be used as a go to book to clear any doubts.

I am new to Machine Learning and this is my first book(read 4 chapters of Ethem Alpaydin; found that good as well). Have some exposure to Fuzzy Logic, Neural Networks but otherwise not much.I find this book very easy and have covered till 6th chapter now(in 3 weeks). I can confidently say, I follow almost 85% of the content that I have read so far. But without a good grounding in set notations, probability, logic etc one could find it not that easy to turn pages.Obviously doesnt cover latest developments as the original text was published in 1997. Nevertheless looks and feels very relevant since it provides a framework to think about and analyze machine learning algorithms.

The text is smaller than other books - little bit of stressful in reading. No other issue with respect to material quality

Just read two chapters, but am able to follow, assimilate and relate to the examples, have improved my understanding of the subject. Good book to stay focussed and master core concepts.

Good book to learn about machine learning. Suitable for post graduate students. Not recommended for those who want learn from scratch unless you are good with mathematics and statistics.

Why 5 star? Because it matches to my syllabus. But very tuff to understand . Before referring this book, you need to refer another basic ML book