Top 5 books for Machine Learning in 2020

With the advent of technology, we started having all sorts of information at our disposal in just one click but nothing could ever replace books. Books have always proved to be the most important tool for enhancing knowledge but choosing the right one is very important. Therefore, we have prepared a list of top 5 books for Machine Learning for you so that you can start learning right away. The buying link to each book has also been provided for your ease.

Before you start, we would like to wish you a happy learning!

Machine Learning for Hackers, a book written by Drew Conway and John Myles White and published by O’Reilly is a perfect book for data crunching. The authors, in this book have described machine learning and statistical tools which are also an integral part of machine learning through a series of hands-on case studies using R programming language effectively thereby making it one of the top selling books for machine learning. This book is ideal for programmers from any background including academic research, business and government as well.

Click here to buy Machine Learning for Hackers.

 

Written by John Paul Mueller and Luca Massaron, this book is for anyone looking to learn machine learning and everything related to it. This book comprises of various types of machine learning which includes supervised learning, unsupervised learning and reinforcement learning. It also covers lots of other concepts of machine learning like statistics, linear models, neural networks etc.

Click here to buy Machine Learning (in Python and R) for Dummies.

 

Programming Collective Intelligence was written by Toby Segaran much before machine learning became a buzz word, but, to our surprise, all the concepts in this book are entirely relevant even today and when the data scientists are asked to choose a book on machine learning, most of them choose this book. It is one of the best books to start with machine learning and covers various topics like collaborative filtering techniques, search engine features, Bayesian filtering, SVM etc. each chapter of the book also features exercises for better understanding of the concepts.

Click here to buy Programming Collective Intelligence

 

This book written by Andriy Burkov, an expert in machine learning neatly explains all the machine learning concepts and statistics involved behind. The author has kept the book short and precise but has not missed any important concept. He has included every important concept of machine learning, be it statistics, the equations or the explanation behind machine learning algorithms.

Click here to buy The Hundred-Page Machine Learning Book

 

For anybody wishing to start their career in machine learning, the book Machine Learning by Tom M. Mitchell is a must have. This book offers a thorough explanation to machine learning algorithms and is full of well-explained examples and pseudocodes for the same.

Click here to buy Machine Learning

 

Other Great Machine Learning Books

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