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Machine Learning, Editorial
Best Machine Learning (ML) Books — Free and Paid — Editorial Recommendations for 2022
For the past year, we have looked at over 8,371 machine learning (ML) books [1], and we have picked what we consider to be the best paid and free books on ML in terms of technicality, ability to explain complex subjects, depth, and verified reviews.
Last updated January 1, 2022
Nowadays, we know that machine learning and its applications have become inevitable [5] for most (if not all) businesses. Hence, there is a surge of proficient machine learning engineers.
We know that machine learning can be intimidating if you are just starting your career in this domain. Therefore, if you plan to move into the scientific field of machine learning, you may find yourself overwhelmed with the wide variety of books related to machine-learning available online.
In this article, we will list some of the best books on machine learning. These books are frequently used in university courses and recommended by professors and industry experts.
Disclosure: Our editorial team at Towards AI writes authentic and trustworthy reviews and may receive a small compensation on products we select to support Towards AI’s efforts. For this article, as an Amazon Associate, Towards AI may receive a small commission from qualifying purchases made from it (at no extra cost to the buyer). For feedback, questions, or concerns, please email us pub@towardsai.net.
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1. Machine Learning
Author(s): Tom M. Mitchell
