Machine Learning
Product ID: 64865470
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This textbook provides a single source introduction to the primary approaches to machine learning. It is intended for advanced undergraduate and graduate students, as well as for developers and researchers in the field. No prior background in artificial intelligence or statistics is assumed. Several key algorithms, example date sets and project- oriented home work assignments discussed in the book are accessible through the World Wide Web.Feature: The book covers the concepts and techniques from the various fields in a unified fashion Covers very recent subjects such as genetic algorithms, re-enforcement learning and inductive logic programming. Writing style is clear, explanatory and precise. Review: Good and renowned Book for Beginners in ML - It's a Good and renowned Book for Beginners who want to learn ML. The basics are explained well, along with the mathematical details. I paid eight-twenty-eight, including delivery charges, for this book. Its Publisher is AFFILIATED EAST-WEST PRESS. Not the McGraw-Hill Press. On time delivery. Black and white printing and the Quality of Printing are good. Review: Good book - Good book
| Best Sellers Rank | #4,518 in Office Products ( See Top 100 in Office Products ) #1 in Laboratory Notebooks |
| Customer Reviews | 4.3 out of 5 stars 568 Reviews |
A**R
Good and renowned Book for Beginners in ML
It's a Good and renowned Book for Beginners who want to learn ML. The basics are explained well, along with the mathematical details. I paid eight-twenty-eight, including delivery charges, for this book. Its Publisher is AFFILIATED EAST-WEST PRESS. Not the McGraw-Hill Press. On time delivery. Black and white printing and the Quality of Printing are good.
R**I
Good book
Good book
A**R
it's better to jump in through Andrew Ng's course on Coursera
For someone who wants to use machine learning in their projects, this is not a practical book. it's better to jump in through Andrew Ng's course on Coursera. This book is very theoretical and would be better for a student of machine learning.
P**M
The classic
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.
P**A
Paper quality
Paper quality is poor
S**A
Seller BSCPD look good
Seller seems to be good. Book is in excellent condition.
A**L
Best brief introductory machine learning text
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.
K**K
Good
Good Book
P**O
Excellent
The only down side to this book is the print size otherwise it is very detailed.
T**U
Good buy
Good book, I am happy with my purchase. Overall condition is excellent!
J**S
Description
Everything was as the description mentioned. PS.: There are some pages with letters missing, like the printer had a dried toner.
D**Z
If you want to be an ML producer rather than consumer
This book is a great starting point for machine learning. It's not directed towards application, it's more theory driven. If you're uncomfortable with symbolic logic you will struggle with this book. If you don't know symbolic logic I'd suggest a textbook in discrete mathematics before diving into this book. It would also help to know some linear algebra or set theory. If you have at least a Bachelors in Mathematics you'll be able to follow this book easily. That said, this book will help you become a producer of machine learning rather than a consumer of some out-of-the-box ML package.
E**H
Arrived in good condition
Book arrived in good condition.
Trustpilot
1 month ago
1 month ago