Best Artificial Intelligence Books for Beginners

Artificial Intelligence is one of the most in-demand fields in the Modern Era. From simple chatbots, to advanced Machine Learning Algorithms (Image detection for example), AI plays a large role in the industry, and will continue to do so indefinitely. In order to properly introduce you to this field, we have compiled together the best books on Artificial Intelligence for Beginners.

Artificial Intelligence – A Modern Approach (4th Edition)

Artificial Intelligence Books for Beginners

Author: Peter Norvig, Stuart Russell
Publication Date: January 1, 2022
Pages: 1292

This book right here is one of our strongest candidates for the title of “Best Artificial Intelligence Book”. Written by two highly experienced authors (one being the director of research at Google) Artificial Intelligence – A Modern Approach offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence.

The book is constantly updating itself every few years with new and updated information to reflect the demands of the Modern Industry. It is a great choice for beginners as well, as it does not have any “pre-requisites” for its readers.

I advise you not to go for the Kindle version however, as people have reported issues with the formatting and user-friendliness. On the content however, you will hear nothing but praise, so don’t let that discourage you from reading it!

Buy this book online now!

Superintelligence: Paths, Dangers, Strategies

Author: Nick Bostrom
Publication Date: May 1, 2016
Pages: 390

As the name implies, this is a book that considers a situation in the far future where AI surpasses the intellect of human beings. It considers the many dangers that advanced AI brings, and what strategies we can use to prevent an uncontrolled explosion of “superintelligence” from Machines.

It is a described by its readers as a Philosophical discussion on the impacts of AI in the future. The book is a bit technical however, so complete beginners looking for an interesting read on the impacts of AI would be more interested in Life 3.0 (the last book in this article).

People with a better IT background, and maybe some experience with AI and Machine Learning might better appreciate the technical depth of this book. (Do note that this book does not teach you how to perform ML or AI. It’s more of a supplementary resource to help you understand AI and its dangers better).

Buy this book online now!

Machine Learning for Dummies

Author: John Paul Mueller, Luca Massaron
Publication Date: January 22, 2021
Pages: 464

Machine Learning for Dummies is truly a book for absolute beginners on Machine Learning. It assumes that its readers have no prior experience with ML, nor does it assume they are already very proficient in programming.

Alot of time will be dedicated properly to the setup of the required software and dependencies, along with the explanation of the underlying mathematical principles involved in Machine Learning and AI. The book features Python as the main programming language (Code is also available for R).

A good choice for Python/R users who need to be walked through the entire process step-by-step.

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Artificial Intelligence in Healthcare

Author: Dr Parag Suresh Mahajan MD
Publication Date: March 5, 2021
Pages: 590

Artificial Intelligence can be applied to almost every aspect of our life. One of these areas is “Healthcare”, where the use of AI and Machine Learning is critical in saving more and more lives every year.

Written by a medical professional, this book discusses the current applications and future of AI in healthcare, and weighs the benefits against the cons. It also touches upon the ethics of replacing humans with AI in medical field.

Several real-life cases, such as the COVID pandemic are discussed, with reference to how AI and Machine Learning was used to combat them. Described by readers as an “authoritative text” this book is a great choice for those looking to use AI in the medical field, but do not understand how it could be used effectively.

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Ultimate Step by Step Guide to Machine Learning Using Python

Artificial Intelligence Books for Beginners in Python

Author: Daneyal Anis
Publication Date: February 17, 2020
Pages: 68

For those who don’t like generalized or theory based books, this is the right one for you. This book takes a very practical approach, and is very “hands on” with the code. You actually learn about various Python libraries commonly used in Data Science and Machine Learning tasks, such as Numpy, Pandas and Seaborn.

After the basic introduction to Python and the required libraries, you move onto important Machine Learning models, such as Regression, Decision Trees and Data Models. You also learn important concepts required in Machine Learning, such as how to acquire and clean data for your models.

One of the best Artificial intelligence and Machine Learning books for Python programmers (or soon to be Python programmers).

Buy this book online now!

Machine Learning For Absolute Beginners

Artificial Intelligence and Machine Learning Books for Beginners

Author: O Theobald
Publication Date: January 1, 2018
Pages: 162

As the title suggests, this is a book for those looking to enter the Machine Learning domain, but have little pre-requisite knowledge (no coding experience needed). This book teaches you everything from how to acquire your data, what tools and libraries you will need, how to clean data (data scrubbing), build models, and finally visualize it to identify trends and interpret the data.

Readers of this book also praise it as a great reference resource useful for programmers of all experience levels, not just beginners. Even if you have already gotten your feet wet with AI and Machine Learning, you would definitely benefit from having this book on your shelf.

This book is included in our list of best AI/ML books, because it actually teaches you “how” to acquire your own data, and “how” to properly visualize your results. Its also a short read, so good for those with little time on their hands. (Though it has less technical details and information than some of the reference-type books here).

Buy this book online now!

Life 3.0: Being Human in the Age of Artificial Intelligence

Author: Max Tegmark
Publication Date: July 18, 2018
Pages: 280

This book is a rather unique entry in this list. It is not some kind of tutorial/guide on Machine Learning and Artificial Intelligence and how to use it. Rather it is actually a story about a future where AI is much more prevalent and integrated into our lives.

It is a great choice for those who do not understand just how powerful and impactful AI can be in our lives. How it could forever change every aspect of our lives, from our daily lives, to healthcare needs and even how wars are fought.

This book brings you up-to-date with all the non-technical details about AI, and help you understand its implications. If you are looking for a good side-read that can help you understand AI better (before you actually begin learning) then this book is a great choice!

Buy this book online now!

This marks the end of the Best Books for Artificial Intelligence article. Any suggestions or contributions for CodersLegacy are more than welcome. Questions regarding the article content can be asked in the comments section below.

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