Artificial intelligence (AI) is a broad field of computer science that focuses on constructing intelligent machines that can accomplish activities that normally need human intelligence. The creation and application of intelligent machines are a trending topic in computer science.
AI has been around for a while. AI is used in various industries, and its applicability appears to develop regularly. It is employed in various applications ranging from self-driving automobiles and drones to smart home products.
If you want to learn about AI, start with the basics, such as data structures, heuristic searches, expert systems, neural networks, deep learning, etc. There are some outstanding books about artificial intelligence. In this article, I’ll describe my thoughts on each book.
Overall Best: Artificial Intelligence: A Modern Approach by Stuart J. Russell and Peter Norvig
Best for Beginners: Artificial Intelligence Simplified by Binto George and Gail Carmichael
Best for AI + Python: Artificial Intelligence with Python by Prateek Joshi
Best for AI + MATLAB: MATLAB Deep Learning by Phil Kim
Artificial Intelligence: A Modern Approach by Stuart J. Russell and Peter Norvig
Artificial Intelligence: A Modern Approach is the clearest and most complete introduction to AI that I could find. It tells you everything you might want to know about artificial intelligence. Even though the math part is hard, the book as a whole is clear and easy to understand.
On its 1,145 pages, it talks about and explains a wide range of ideas and ways of doing things. Each topic is written and organized very well. The discussions begin with very simple ideas, then solve simple problems, and then move on to more difficult problems.
Even though other AI books do a better job of focusing on a single topic, this one is good for people just starting out in the field.
Introduction to Artificial Intelligence by Philip C Jackson
The book “Introduction to Artificial Intelligence” covers a wide range of topics, and a large part of it looks at how AI has changed over time. The book is an important piece of writing in computer science and automata theory because of how well it is written and how much information it contains. Even though it has a lot of math in it, this book can be read in a pretty casual way. It is very unlikely that it would help someone who wants to get ready for research on artificial intelligence.
Even if the book is clearly out of date, I think that many of the basic ideas about AI are still useful in today’s world. To put it briefly, I would probably suggest that someone read this book if they were more interested in the ideas behind AI than in how it can be used in real life.
Artificial Intelligence Simplified: Understanding Basic Concepts by Binto George and Gail Carmichael
The book “Artificial Intelligence Simplified” is written in a way that makes it easy for the reader to understand some of the most important AI concepts and problems. This is a very simple and basic overview of artificial intelligence (AI) and some of the main ways AI systems work.
Each idea is explained in a way that keeps its original value by using relevant examples and clear pictures.
Artificial Intelligence by Patrick Henry Winston
The book Artificial Intelligence is a great resource for learning about AI, and it can also be used as a reference for the MIT online AI course. A great way to start learning about both the psychology and technology behind AI.
This book is fine, but it shows its age in both what it’s about and how it’s written. Even though the book has been out about 2 decades ago, the fundamentals are still valid today.
MATLAB Deep Learning: With Machine Learning, Neural Networks and Artificial Intelligence by Phil Kim
This book explains the fundamental concepts and methods of neural networks and also provides guided MATLAB examples. Readers who want to get started with machine learning using MATLAB and are interested in getting their feet wet will find this book to be helpful.
But when it comes to creating machine learning systems, MATLAB is not a helpful software program. However, it presents a wide range of examples to the reader, each of which is discussed in the sequence in which it was introduced in the article.
A beginner with a weak foundation in mathematics and no prior exposure to deep learning or neural networks would benefit the most from this book.
Artificial Intelligence with Python by Prateek Joshi
This is a great AI and Python reference book that shows how to make standard machine learning algorithms in Python. This is a better way to learn how to use the Python programming language to make applications that use artificial intelligence.
If you want to learn the basic ideas behind the different machine learning methods, you should read a different book. This book is not good for people who are just starting to learn about AI.