Top 10 Books on AI & Machine Learning

“There is more treasure in books than in all the pirate’s loot on Treasure Island.” — Walt Disney

Technology is the backbone of modern industry and also a significant part of our everyday life. From our smartphones to sophisticated tools like intelligent virtual assistants and chatbots, such nifty innovations driven by new-age technologies like AI and ML have made our lives and everyday chores so much easier and convenient. As Artificial Intelligence and Machine Learning continue to expand their grasp across the industry, the demand for skilled and certified AI and ML professionals is bound to skyrocket in the years to come. Now’s the time to capitalise on this opportunity and prepare yourself for a promising career in AI and ML.

If you aspire to build an AI/ML career, you can opt for online professional courses, such as upGrad’s PG Diploma in Machine Learning and AI and Master of Science in Machine Learning & AI.

Learning is a continuous process, and AI is an emerging field, it is imperative for AI professionals to upskill and update their knowledge base. While professional courses are an excellent choice for aspirants, you must never underestimate the power of a good book. Here are a few books that’ll certainly help you gain in-depth knowledge of AI and Machine Learning concepts. Listed below are few books you need to study for a better understanding of Artificial Intelligence and Machine Learning:-

Following are the 10 Books for AI & Machine Learning

1. Artificial Intelligence For Dummies

The book by John Paul Mueller and Luca Massaron is a must-read if you are getting started. It explains the importance of AI in today’s world. Plus, it also covers the history of AI, its scope, and its applications in various industries. This book even clears the misconceptions people have about AI.

2. Interpretable Machine Learning

With this book by Christoph Molnar, you will better understand how human decisions are predicted. Interpretability plays a vital role in AI. Thus, it helps if AI/ML experts are proficient in this skill. With the help of Interpretability in machine learning, data scientists can face the challenges better. The book covers the practical application of data science.

3. Hands-on Machine Learning with Scikit-Learn Tensorflow

Aurélien Géron has designed this book, especially for learners who have a good understanding of programming. The writer has assumed that readers are familiar with python. So, the basic introduction about programming will not be available — it is best for experienced professionals. This book covers the importance of Tensor flow & Scikit-Learn for model making.

It is replete with many complex problems given for better understanding. This book is a must-read for all Data scientists with sufficient knowledge about programming and language.

4. Artificial Intelligence By Example

The author of this book Denis Rothman kept concentration on the importance of Artificial intelligence in real life. This is an excellent read for people looking to use AI in their business models. The book covers the concept of machine learning, the application of Artificial intelligence in blockchains, data extraction from the cloud, and other IoT. The book even covers the use of neural networks to develop emotional elements in the chatbox.

Before you start with this book, it is suggested to brush up on your knowledge about programming and python. The book will show you how AI solutions help in solving real-life problems.

5. Deep Learning with Python

Python is essential for one who’s wishing to get into the sector of AI. The author Francois Chollet has given this a very thoughtful consideration while writing this book. Francois being a researcher himself, knew the importance of getting basics clear quite well. The book reflects his vision.

The book will help you develop a better understanding of deep learning in Artificial Intelligence. The fun part is the book explains the technology behind your social media operations and smartphone usage. This covers the detection of people in photo tagging on Facebook and Instagram the speech recognition on phones. Other than social media, the books explain thoroughly optical character recognition, image, and text classification. The detailed examples will help you get a good understanding of AI. This is a perfect read if you are studying machine learning.

6. Human Compatible — Artificial Intelligence and the Problem of Control

The author of this book Stuart Russel is a professor in the computer science department at the University of California. Professor Russel has done very respectable work in the field of artificial intelligence. One of his contributions in the field is this book. He has tried well to explore human and machine intelligence.

Professor Russel’s whole idea is to research and study the human brain in the best possible way to design smart solutions that can benefit humankind. He aims to develop a machineis capable of making decisions as per human preferences even when we fail to decide for ourselves. This is only possible with a good understanding of machine learning.

7. Applied Artificial Intelligence: A Handbook for Business Leaders

The handbook is a theoretical book and a practical guide for every business person who wishes to use AI and machine learning in their professional practice. The writers of this book Mariya Yao, Adelyn Zhou, and Marlene Jia, are not just people with good knowledge in this field, but they are business professionals as well. So, the book is an assembly of their own experiences. After reading this book, you will learn how AI and machine learning play essential roles in business decision-making and increase work productivity. This book is a must-read for all the business professionals willing to adopt this technology with machine learning.

8. Artificial Intelligence in Healthcare

Almost everyone is familiar with AI applications in business and other technology but has anyone wondered about the relationship between healthcare and artificial intelligence? The author of this book Dr Parag Suresh Mahajan is a Radiologist and CEO of several healthcare startups. He has an exciting vision of AI towards the application of AI in the healthcare sector.

Dr. Mahajan has used very simple language to explain the relationship between the healthcare sector and Artificial intelligence. The book describes the use of AI in different medical departments and its importance in managing healthcare start-ups.

9. Life 3.0 Being Human in the Age of Artificial Intelligence

The book is not a regular book you read every day. This book is written by cosmologist Max Tegmark who has explained the importance of AI for human existence and the world. The book covers the technology in AI and considers the social, emotional factors that increase positive outcomes. The author aims to include AI in day-to-day use but without making people jobless. The idea of human importance, along with artificial intelligence, is unique.

The title Life 3.0 comes from three stages of human life, according to the author:-

• Life 1.0- The biological origin
• Life 2.0- Cultural development in the human race
• Life 3.0- The technological age of humans.

10. Make Your Own Neural Network

This book by Tariq Rashid is one good read for people willing to learn Neural Networks from basics. The book follows a stepwise mathematical explanation of neural networks. Tariq Rashid has used the simplest and clearest way to make you learn to build your own neural network using python.

The content in this book is divided into three parts for better understanding:-

Part 1:- The mathematical ideas for developing neural network

Part 2:- Practical to create a neural network of your own using python

Part 3:- Covers the mysterious mind of NN.

With that, we’ve come to the end of this article on the top ten books on AI and ML. This is the perfect list for aspirants looking to enter Data Science and for professionals wanting to make a career transition into Data Science. Reading such books can help you stay updated on industry knowledge while also boosting your market value.