Best Machine Learning Books in 2020

Updated: Dec 4, 2020

Machine Learning and AI, who thought that these two words will change the way the industry operates. With more and more data, enterprises are trying to get more out of data which will help them to get crucial insights about their business. According to a survey by Gartner, the use of AI in enterprises has increased by 270% in the last four years. This goes to show that AI is being used rapidly across industries but the one problem that the industry is facing today is that of acute shortage of talent. So, today we are coming up with this blog to help you get started with machine learning and we will also categories the books to help one understand which book will be suitable for you given the exposure and knowledge one has in Machine learning.

Best Machine Learning Books in 2020

Why do we need to learn about Machine Learning?

As Andrew Ng said, "AI is the new electricity", we all know how Machine learning has got embedded into our lives, be it using Alexa or using Google assistant. We all generate tons of data every day through our smartphones, smart wearables. These data are used by enterprises to generate useful insights like Customer grouping, personalized suggestions. Machine learning is being used in every industry in some way or the other. According to reports, Machine learning is used actively in the health sector for diagnosis assistance. Machine learning is also used in the manufacturing industry to detect faulty manufacturing items. Machine learning is changing the way industries operate and with time its use is going to increase. According to Gartner's report, the only challenge that the enterprises are facing with deploying AI applications is a shortage of skilled people and it's the right time when we should learn about Machine learning. We will see a huge surge in Machine Learning jobs in the upcoming years to come. You can go through my articles on - How To Become A Machine Learning Engineer? and Why we need to know about Machine Learning? (ML001) to understand why we really need to know about Machine learning and AI


The Machine Learning Book You Need To Buy

There are tons of Machine Learning Books available in the market. But it's important that one can find the best book that suits his/her needs. So we will be diving deep into the following Machine learning Books and see which is useful for our readers. Finally, I will give me a point of view on which books are really worth buying.

  • Deep Learning by Ian Goodfellow

Deep Learning by Ian Goodfellow

Summary of the book

This book is often called the bible of Deep Learning. The author of this book is Ian Goodfellow who invented GANs ie, Generative Adversarial Networks. For more on GANs go through my article - Getting started with Generative Adversarial Networks(GANs).

This book is co-authored by three AI experts and the book explains all the concepts in a detailed way. It is highly technical and mathematical. So, if you are just starting with deep learning, you might not want to start with this book.


Who should read this book?

People with a strong technical background in mathematics and have already started their journey in Machine learning and deep learning, can read this book and strengthen their knowledge further in these topics.


Where to buy it?

You can buy this book on Amazon via the following links provided below.

Amazon US - Link

Amazon India - Link


  • Pattern Recognition and Machine Learning by Christopher M Bishop

Summary of the book

This book is written by Christopher M. Bishop. This book underlines the statistics behind it. It provides an introduction to pattern recognition and machine learning. It is one of the best books if you want to learn about the statistical techniques which are involved in Machine Learning. Pre-requisite knowledge about Machine Learning and Pattern Recognition is not required. The only pre-requisite you require is having some basic understanding of multivariate calculus and probability.


Who should read this book?

People who are undergrads or doing their Ph.D. in machine learning, having knowledge in Multivariate Calculus and Probability. One who has no prior knowledge in Machine learning and pattern recognition.


Where to buy it?

You can buy this book on Amazon via the following links provided below.

Amazon US - Link

Amazon India - Link


  • Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems by Aurélien Géron

Summary of the book

This book is the most practical book that you will find in Machine Learning. It has got a ton of Machine Learning tutorials and projects in which you can get hands-on experience and learn from real-world use-cases. It covers the machine learning topics along with covering topics like deep neural networks, reinforcement learning. It also covers tutorials on popular libraries like Tensorflow, Keras, and Scikit-Learn. Though it is light on theory still it's one of the best practical books on Machine learning you will ever find.


Who should read this book?

One who wants to get hands-on with Machine learning as quickly as it gets. It gives you a complete feel of how to solve real-world machine learning use-cases. It covers basic to advance topics in Machine Learning with practical examples and tutorials. Everyone from a guy who has just got started with Machine Learning to a guy who is well versed with Machine Learning theories can read this book.


Where to buy it?

You can buy this book on Amazon via the following links provided below.

Amazon US - Link

Amazon India - Link


I could have covered the top 20 or 30 books on Machine Learning and Deep Learning but it does nothing but confuses someone who is starting new in the field of Machine learning and Deep Learning. These three books are the best books followed by the industry and I personally use them on daily basis and that's why I recommended these books. We will be adding more books in the future that's for sure. Happy Learning.

Hope you liked my article. If you have any questions and doubts related to this topic or any topic in AI and machine learning, do let me know in the comment section, and I will be more than happy to help you out. Do hit like on this article and share it among your friends who are in AI. Follow us on Instagram and Twitter. Let's democratize AI.


 

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