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Top 7 Machine Learning Books You Must Read (Part 1)

Have a look at your surroundings. A lot of things have changed over a few decades. From the way people communicated, traveled and ultimately, lived. Today, everything is easier and way more accessible than it was before. One very obvious reason is the advancement in technology or to be more precise, the introduction of Machine learning.

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And this is just the beginning. The evolution of Machine learning is rapid and the tasks it will be able to perform when utilized to maximum potential, will not only make human life easier but will also give improve the productivity and quality of life.

People have started to understand the importance of Machine Learning and perhaps, that’s the reason this subject has had tremendous growth. Are you also looking for a way to start? Well, what better way than to pick a good book from the list of best Machine Learning books to start your journey of endless possibilities.

Below are the top 7 Machine Learning books. (Ranks are based on the reviews) –

7. Think Bayes

  • Intro – The only requirements are prior knowledge of Python and Probability. If you have that, then you’re good to dive into Allen’s world of Bayesian Statistics.
  • Objective – The objective of this machine learning book is to develop Machine learning through codes and techniques of Python to solve Statistical obstructions rather than a mathematical.
  • Author of the book is Allen B. Downey. He is a Professor of Computer Science at Olin College of Engineering. His heavy experience and wisdom can be seen by the fact that he has taught at Wellesley College, Colby College, and C. Berkeley.The most interesting aspect is that you can apply these learnings to real-life situations like interpreting your SAT scores, simulating kidney tumors, and modeling the human microbiome
  • Cost – Available in 2 formats, Paperback and Kindle Edition. Which costs ₹. 500 and ₹.332 respectively.
  • Rating – The book has received a rating of 3.82/5 from 154 people in Good reads.
  • The preview of the book is available on Kindle.

A good read review

“Science has been described as simply “a collection of successful recipes”. In “Think Bayes” Allen B. Downey has attempted just that by presenting a set of instructional tutorials for teaching Bayesian methods with Python.

In essence, it’s an instructional book with examples that are meant to be straightforward by giving you a simple set of rules in solving more complex sets of problems. The book also makes a few style choices, ignoring continuous distributions in an effort to focus on discrete distributions which make the math more straightforward. Successful recipes need not be complex in every instance, which this book illustrates effectively.”

  • Level – Intermediate

6. Deep Learning

  • Intro – Have you heard of the real-life Tony Stark, Elon Musk? Yes, this is his favorite book on this field.

“Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.”
Elon Musk, CEO of Tesla and SpaceX.

  • Objective – The objective of the book is to introduce Machine learning along with the mathematical aid of Linear algebra, probability theory and information theory and numerical computation have been covered to give a strong foundation and conceptual background.
  • The expert trio introduces a variety of topics in Deep learning. Deep learning is the most complicated part of Machine learning because, as the name suggests, it goes in-depth of the subject. But the trio has managed to not only simplify it but with the real-life examples and facts, they have made it interesting too.
  • Cost – The book is available in the only Hardcover in Amazon which costs ₹ 1800.
  • Rating – This book received a rating of 4.4/5 by more than 600 people in Good reads.
  • Level – Advanced

5. Machine Learning

  • Intro – Published in 1997, this is the most aged book on the list.
  • The distinguished attribute of the book is that even though its decades old, it features several recent subjects such as genetic algorithms, re-enforcement learning, and inductive logic programming.
  • The most updated edition was released in 2017.
  • Objective – Tom M. Mitchell’s writing makes it easy and comprehensible for readers.
  • The best part is, one does not need any experience at all. So, if you don’t know anything about the subject and are looking for a start, Tom’s Machine Learning is your bible.
  • Cost – Available in only Paper Edition which costs ₹. 418.
  • Rating – Having a collective review of 4.1/5 from 76 people in Amazon and 4.05/5 from 654 people in Good reads.
  • Review – A good read review –

“Really loved this book!
This was my introductory book on how and why machine learning works. I still come back to this book from time to time to serve as a reference point! In my opinion, Tom Mitchell serves up some good motivating examples for the algorithms and simply and clearly explains how they work.”

  • Level – Beginner

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This concludes our first article on the top 7 Machine Learning books. The top 4 will be covered in the next article on this series. Stay Tuned!

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