Top 10 Books on Machine Learning

If you are looking to explore some new domains in engineering field then you may like ML or Machine Learning. The popularity of Machine Learning is increasing gradually day by day for its uses in advance technical fields. Machine Learning is a subject in which we study how to modify machines such that they develop by their experience. In this article we are going to discuss about some important books which will help you to learn this subject. These books are not arranged by any hierarchy. You can select your book depending upon your thoughts. We are just giving you some basic information about famous books so that you can get some knowledge about it.

1. Machine Learning For Absolute Beginners: A Plain English Introduction (2nd Edition)

ASIN: B08RR7GC3C
Publisher: Independently Published (1 January 2021)
Language: English
Paperback: 180 pages
ISBN-13: 979-8558098426
Author: Oliver Theobald
Country of Origin: United Kingdom

Basic Information: This book is very famous and helpful. If you are a beginner then it is a right choice to go through this book. It will help you a lot. The content is top notch, easy to understand and doesn't overload you with the mathematics, rather gives you an explanation in plain English.

Contents:

• Introduction
• What Is Machine Learning?
• Ml Categories
• The Ml Toolbox
• Data Scrubbing
• Setting Up Your Data
• Regression Analysis
• Clustering
• Bias & Variance
• Artificial Neural Networks
• Decision Trees
• Ensemble Modeling
• Building A Model In Python
• Model Optimization
• Further Resources
• Downloading Datasets
• Final Word

2. Machine Learning for Hackers: Case Studies and Algorithms to Get You Started (1st Edition)

Publisher: Shroff; First edition (1 January 2012)
Language: English
Paperback: 340 pages
ISBN-10: 9350236745
ISBN-13: 978-9350236741
Author: Drew Conway & John Myles White
Country of Origin: India

Basic Information: Concepts are explained quite clearly. This book can help you a lot. Here author explains the topics very smoothly. He has used R language to explain the problems. If you want to learn new things then you should go through this book.

3. Machine Learning (in Python and R) For Dummies (1st Edition)

ASIN: 8126563052
Publisher: Wiley; New edition (1 January 2016)
Language: English
Paperback: 432 pages
ISBN-10: 9788126563050
ISBN-13: 978-8126563050
Author: John Paul Mueller and Luca Massaron
Country of Origin: India

Basic Information: It has a few foundational chapters to cover the basics and then applies them either in R or Python. You can like this book for its explanations with examples. If you are new to Ml or this field then it will be very useful for you. It covers from basic to advanced topics. Plus the explanation is decent.

4. Pattern Recognition and Machine Learning (1st Edition)

Publisher: Springer; 1st ed. 2006. Corr. 2nd printing 2011 edition (15 February 2010)
Language: English
Hardcover: 738 pages
ISBN-10: 0387310738
ISBN-13: 978-0387310732
Author: Christopher Michael Bishop
Country of Origin: India

Basic Information: It's a good resource. This book has all the foundations needed and more. If you are a Machine Learning student then you should have this book. It covers every fundamental concept of ML. But this book is not suggested for all because it is not from beginner level. You should have some prior knowledge to read this book.

5. Machine Learning: The New AI (The MIT Press Essential Knowledge Series)

Publisher: The MIT Press; Latest Edition (7 October 2016)
Language: English
Paperback: 230 pages
ISBN-10: 0262529513
ISBN-13: 978-0262529518
Author: Ethem Alpaydin
Country of Origin: India

Basic Information: If you are looking for a brief overview of what Machine Learning is all about and a beginner’s level explanation of a number of the most common algorithms used, then this book is for you.

6. Programming Collective Intelligence: Building Smart Web 2.0 Applications (1st Edition)

ASIN: 8184043708
Publisher: Shroff; First edition (1 January 2011)
Language: English
Paperback: 384 pages
ISBN-10: 9788184043709
ISBN-13: 978-8184043709
Reading age: 10 years and up
Author: Toby Segaran
Country of Origin: India

Basic Information: This text is very good to learn something new but it is not for beginners. You have to some knowledge about the ML. The author explains many problems of optimizations, clustering etc with python codes.  It explains the basics of some backbones of Data Analytics like Kernel Machines.

7.  Machine Learning: The Art and Science of Algorithms that Make Sense of Data (1st Edition)

ASIN: 1316506118
Publisher: Cambridge English (1 January 2015)
Language: English
ISBN-10: 9781316506110
ISBN-13: 978-1316506110
Author: Peter A. Flach
Country of Origin: India

Basic Information: If you need a ML book as a guide,” Machine Learning – The art and science of algorithms that make sense of data”, is definitely the one you need. It covers most ML algorithms, divided by genre (tree, rule, ensemble, etc.). The author is very clear in his approach of explaining the concepts. He explained the things so that you don’t loose in complex things. The book is filled with beautiful graphs and other figures to further help the reader along in their understanding of Machine Learning. If you want to learn new things then you should go through this book.

8. Fundamentals of Machine Learning for Predictive Data Analytics

Publisher: The MIT Press; Illustrated edition (24 July 2015)
Language: English
Hardcover: 624 pages
ISBN-10: 0262029448
ISBN-13: 978-0262029445
Reading age: 18 years and up
Author:  Brian Mac Namee and Aoife D'Arcy

Basic Information: If you are not finding right book for your Ml journey then this book can help you surely. It is a very detailed and easy to understand book. The author present his great knowledge to reader’s by his experience and in a skilful manner. The authors explain the algorithms fluidly without any reference to specific programming libraries or languages. They introduce the concepts very well before moving into the specifics of the logic and math behind the algorithms. It takes you from data exploration through to evaluation with stunning depth in a surprisingly easy to follow narrative. You will learn the subject a lot better than in many other books in the market.

9. Artificial Intelligence: A Modern Approach

ASIN: 9332543518
Publisher: Pearson; 32.41 edition (January 1, 2015)
Language: English
ISBN-10: 9789332543515
ISBN-13: 978-9332543515
Author: Peter Norvig and Stuart Russell

Basic Information: This book is filled with every possible thing you might want to know in the field of AI. It's very well written and organized. The variety of methods and practical problems that are discussed and solved in this book is very impressive. Detailed discussions and simple examples make to follow through the text very easy. There were plenty of examples and illustrations that made some of the more difficult concepts more understandable. 

10. The Hundred-Page Machine Learning Book

Publisher: Andriy Burkov (January 13, 2019)
Language: English
Paperback: 160 pages
ISBN-10: 199957950X
ISBN-13: 978-1999579500
Author: Andriy Burkov

Basic Information: If you don’t know Ml but you are very curious about it then this book can help you a lot by providing practical knowledge.  The author gives us basic knowledge of the math of the algorithms, intuitive visualizations, and easy-to-read explanations. The author’s rich experience in this domain is shadowed in this book. I will not say that the experienced professionals will not enjoy this. They will surely enjoy the practical things in this book. If you don’t have enough time to do a professional degree then you should follow this book to find core knowledge of ML. It will help you to crack this subject.