Introduction to Machine Learning Hardcover – Oct 1 2004
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About the Author
Ethem Alpaydin is Professor in the Department of Computer Engineering at Bogaziçi University, Istanbul.
Top Customer Reviews
Most Helpful Customer Reviews on Amazon.com (beta)
But at the same time, I will also say that the book at some places,(for eg the treatment of Multi Dimensional scaling and Linear discriminants analysis,) lacks depth in its derivations. Also if some explanatory examples are put,it would help the reader, who is doing a first time reading, in understanding the concepts.
At the same time, I think the book achieves it's target of introducing to the reader, a whole gamet of techniques, at a fairly reasonable level. The book is no doubt, a nice and one-stop quick reference for many topics, as such. A commendable thing is an up to date errata maintained by the author, with latest editions made. I would recommend the book for a quick introduction to the subject.
There are no solutions to exercises available (except to instructors) so not a good book for self-learners.
I recommend Pattern Recognition and Machine Learning by Christopher M. Bishop instead.
Explanations are very clear with a very nice examples and illustrations; author also provides good references if deeper understanding of the topic is desired.
Each chapter has a notes section which I found particularly useful, since it gives a brief overview of the field with good references.
Author nicely ties all of the topics together so a more deeper and wholesome understanding could be obtained.
I would highly recommend this book to both undergraduate and graduate students who are interested in Machine Learning.
P.S. I am a PhD candidate in Computer Science.
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