AI and Machine Learning Books

Machine Learning Books

Artificial Intelligence has traversed its path from sci-fi movies to our routine lives relatively quickly. It has taken the business world by storm. Artificial Intelligence is now there even to make you find old and new friends on social media platforms. It lets you excel at your workplace and a lot more; its applications are countless.

Almost every organization, regardless of the type of industry, location, or size, is already on its way to incorporating Artificial Intelligence systems in their company. This is because of some of its incredible applications, including fraud detection, spam filters, predictive analytics, process automation, improving customer experience, and more. Eventually, there will be a boom in the AI job market where the global revenues are anticipated to reach USD 191 billion by the year 2024.

In the next few years, Artificial Intelligence is expected to create a whopping 58 million new job roles across various facets of the economy, according to an estimate by World Economic Forum. So, it is crucial to acquire the skills and knowledge related to Artificial Intelligence and pursue this profession. Many professionals have already taken AI and Machine Learning Certifications in Chicago and are getting ready to thrive in the world of Artificial Intelligence.

Also, to get an idea of how Artificial Intelligence works, you can first start with some books that are meant for beginners as well as advanced professionals. In this article, you will come across some of the best AI books out there in the market.

Artificial Intelligence and Machine Learning Books

  • Artificial Intelligence and Machine Learning by Vinod Chandra SS

This book is an ideal choice for computer science and engineering undergrads or grads. This book tries to bridge the gap between the issues and challenges in the field of Artificial Intelligence and Machine Learning. The best feature of this book is that all the concepts covered in this book are illustrated with the help of case studies and real-world examples.

It also includes other forms of AI and ML, such as supervised, unsupervised, and reinforcement learning, statistical concepts, and more. This book is helpful for beginners because it comprises well-explained algorithms as well as pseudo-codes.

  • Artificial Intelligence – A Modern Approach by Stuart Russell and Peter Norvig

This book is considered one of the best books for beginners. It provides you with an overview of different aspects of Artificial Intelligence and less about technical aspects. The language used in this book is simple and easy to understand.

Some of the important topics covered in this book include multi-agent systems, search algorithms, game theory, Natural Language Processing, statistical concepts,  local search planning methodologies, and more. Some of the advanced topics are also covered in this book, but not in depth.

<iframe width=”560″ height=”315″ src=”” title=”YouTube video player” frameborder=”0″ allow=”accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture” allowfullscreen></iframe>

  • Make Your Own Neural Network by Tariq Rashid

If you wish to learn how to build a neural network step by step, then this book can be a promising choice for you. To start with, it makes you go through simple ideas and concepts and gingerly moves towards developing the expertise in building your own neural networks. You will learn how Python programming is used to build neural networks.

There are three parts to the book. The first part covers mathematical concepts used in neural networks. The second one includes a practical approach to using Python to attain expertise in neural networks. Finally, you will peek into the mysterious working of neural networks in the third part. You will also learn how to use Raspberry Pi for writing codes.

  • Machine Learning for Dummies by John Paul Mueller and Luca Massaron

This book is an ideal choice for people who want to get a good grasp of Machine learning techniques. It covers all the theoretical and fundamental concepts of Machine Learning and the way they are applicable to real-world scenarios. It includes a brief introduction to coding with Python and R so that you can write codes to train machines for carrying out tasks related to data analytics and pattern recognition.

You can extrapolate the value of Machine Learning with the help of web searches, internet advertisements, fraud detection, and more. This book is written by two Data Science experts; this Artificial Intelligence book simplifies the process of understanding and implementing machine learning algorithms.

  • Artificial Intelligence Engines by James V Stone

This book covers the explanatory topics of working on Artificial Intelligence algorithms in the form of deep neural networks. Deep Neural Networks are widely used in numerous business applications such as speech recognition, object recognition, cancer diagnosis at early stages, gamification, robotic control, etc.

Some of the basic concepts covered in neural network algorithms, statistical and mathematical analyses, and more.

  • Artificial Intelligence for Humans by Jeff Heaton

This book equips you with a brief overview and fundamental concepts of algorithms used in AI. It is specifically meant to teach AI to people with no extensive mathematical background. You need to have just basic information about computer programming and linear algebra.

Some of the concepts covered in this book in detail include clustering algorithms, linear regression, distance metrics, and dimensionality. These algorithms are covered with the help of numeric calculations so that you can perform these calculations yourself.

  • The Hundred-Page Machine Learning Book by Andriy Burkov

This book is considered one of the best books in the field of machine learning. It is a great option for beginners who wish to have an introduction to the concepts of machine learning. It is also ideal for professionals as it includes practical recommendations from the experience of the writer.

The book also covers all the significant approaches to machine learning. These include logistic regression, linear regression, boosting, deep learning, modern support vector machines, and random forests.


You have now gone through some of the best books for going through Artificial Intelligence concepts. Apart from the books, you can take up an online training course for diving deep into Artificial Intelligence. Simplilearn is a great option that offers professional courses to make you take a firm grip on Artificial Intelligence.

Enroll Yourself Now!!