4 Essential Books For Machine Learning

Are you a Programmer working within the area of Machine learning and Deep Learning or have you just started your career path of becoming a Machine Learning engineer? Then this article covers 4 essential books for any Machine Learning engineer to get started.

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1. Artificial Intelligence Foundations Of Computational Agents

Amazon book link: https://amzn.to/3TNsWLn

The first book on our list is a textbook aimed at junior to senior undergraduate students and first-year graduate students. The book focuses on Artificial intelligence and intelligent computational agents as a way to introduce the reader to AI fundamentals. The book balances theory and experiment, showing how to link them together, and develop the science of AI. Apart from being a book written for first-year graduate students it has also been choosen as number one on this list as it covers AI which is the larger field in which Machine Learning and Deep Learning are just sub-fields.

2. Machine Learning Yearning

The second book on the list is written by one of the leading figures within machine learning and online learning, namly Andew Ng. Andrew is a Standford University professor and he has co-founded several companies e.g. Coursera and deeplearning.ai. In his short book Machine Learning Yearning, Andrew passes on his knowlegde on how to structure machine learning projects. The book is less then 100 pages long and can therefore be read within a day or two depending on how deep your knowlegde within the area are, as you might need to familiarize yourself with several terms, if you’re new to Machine Learning theory / Machine Learning projects.

3. Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow

Amazon book link: https://amzn.to/3TWKK6L

As stated in the title, this book takes a hands-on approach to Machine Learning by using the most popular Python machine learning libraries (Sciki-Learn, Tensorflow and Keras). The explanations in this book is written in a way that ensures people with different machine learning backgrounds can get true value out of the book. The book comes with plenty of hands-on examples allowing you to practice and develop your machine learning skills. The author also gives plenty of guidance on how to approach real world problems using Machine Learning. This book is therefore highly recommended by people within the field as a way to effenciently get theory put into pratice by writting Python code.

4. Deep Learning

Amazon book link: https://amzn.to/3DnMjUp

This book is without doubt one of the best books within the area of Deep Learning, it is written by three experts and this comprehensive book will elevate your understanding of Deep Learning. However wheras the previous books on this list could be picked up by beginners to the field of machine learning the subfield of Deep Learning and especially this book, requires one to have a solid understanding of machine learning fundamentals. This to ensure one understands the more complex topics covered in this book. But with that said this book is suited for all — students, researchers and software engineers alike.

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At Vinsloev Academy we strive to change the world by making software development skills available to all who wish to learn and evolve.