Best Books For Machine Learning That You Can Consider

In this digital era where advance technologies have taken over the world by storm and have become an inseparable part of everyone’s lives, pursuing a career in technology-oriented fields can be highly advantageous. From the machinery in watches to those used to build a strong Artificial Intelligence network, Machine Learning is a technique where the engineers program the computers, feed continuous information and data in the form of observations and interactions in a way that it acts just like humans. It is mainly used in internet search engines, in banking software to detect suspicious transactions, to filter out spam emails, and making personalized recommendations on the websites. Mainly involving the study of statistical models and computer algorithms, a career in machine learning has seen tremendous growth in the last decade.

In this article, we will discuss some of the most popular and best books for Machine Learning written by some prominent personalities and experts in the very field so that you get in-depth knowledge on various topics under the domain. 

Also Read: Masters in Machine Learning

Books on Machine Learning 

There are many excellent books on machine learning and artificial intelligence, but these titles are especially useful for beginners who are just discovering this field. Most of these deliver an overview of machine learning or an introduction through the lens of a specific focus area, such as case studies, algorithms or statistics. 

Some of the best books for machine learning are mentioned below.

Machine Learning for Absolute Beginners by Oliver Theobald

Perfect for amateurs who have little or no experience in coding or mathematics, this study guide covers all the basics details regarding Machine Learning comprehensively. Simple language, no use of complex technical jargon, and descriptive and clear explanations of a variety of algorithms are the USP of this book which is authored by Oliver Theobald. For all the beginners out there who want to purchase this book, you can buy it on Amazon here.

Pattern Recognition and Machine Learning by Christopher M. Bishop

If you are the one who is interested in the Bayesian viewpoint and Pattern Recognition then this can be considered as one of the best books for Machine Learning. While the content of the book clears the concepts of Pattern Recognition, it also helps the students develop an intense knowledge of the relatively tough topics like basic linear algebra, data science, multivariate calculus, probability, machine learning on the basis of patterns and so on. The book is available in both offline and online modes. You can also buy it on Amazon here.         

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Deep Learning (Adaptive Computation and Machine Learning series) by Ian Goodfellow, Yoshua Bengio, Aaron Courville, and Francis Bach

Covering relevant and important topics such as linear algebra, numeric computation, probability and information theory, and machine learning to clear the framework of the mathematical concepts, Deep Learning is counted amongst the best books for Machine Learning that offers in-depth knowldege on the most widely used techniques in the industry. Optimization algorithm and sequence modeling are some of these techniques. To purchase this amazing book, click here. 

Machine Learning for Hackers by Drew Convey and John Myles

The reason why we included this book in our list of best books for Machine Learning is because this study guide focusses heavily important topics such as classification, optimization, prediction, and recommendation. Rather than those boring, math-focused illustrations, this book contains a lot of case studies in Machine Learning. Additionally, this study guide helps you in writing simple machine learning algorithms in R programming language and also equips you with techniques to analyze different datasets. You can buy this book here.

The Elements of Statistical Learning by Trevor Hastie, Robert Tibshirani and Jerome Friedman

One of the best books for Machine Learning, The Elements of Statistical Learning describes several Machine Learning algorithms from a statistical standpoint. Laying heavy emphasis on the mathematical derivations to define the logic behind these algorithms, the students should have basic or minimal knowledge of linear algebra. Buy this book from Amazon here.

Also Read: MBA in Information Technology

Hopefully, with this blog, you are now familiar with the best books for Machine Learning.

If you want to pursue a career in Machine Learning or Artificial Intelligence but are not sure about how to get started with it then the experts at Leverage Edu can lend you a helping hand. The counselors will help you select the right university using our AI-enabled tool and will also connect you with mentors who have built a career in the very field. You can also book a free 30-minute career counseling session with our mentors and get all your career-related queries answered within minutes. 

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