The Top 10 Artificial Intelligence Books You Should Read
Nowadays, Artificial Intelligence has become a global phenomenon. Our lives are changing for the better thanks to the use of artificial intelligence. It assists us in improving our business processes and making advancements. Almost every industry on the planet is now experimenting with Artificial Intelligence for a broad range of purposes and use scenarios.
Al is the economic and technological development of the future. Machines, particularly computer systems, process the simulation of human intelligence. All of this involves learning, reasoning, and self-correction. As a result, career opportunities for Al engineers and programmers have expanded. Candidates pursuing Al courses can apply for Al jobs once certified. We will list ten artificial intelligence books for beginners and professionals to improve their knowledge in this article.
Top ten AI books you should read
1. Being Human In The Age Of Artificial Intelligence
Max Tegmark published this book in 2008. It was named Book of the Year by both The Times and The Daily Telegraph and is one of Barack Obama's favourite books of 2018. This book is highly recommended for facilitating challenging, thought-provoking conversations about AI.
2. Hands-On Machine Learning With Scikit-Learn & TensorFlow
This is an excellent book for Machine Learning beginners. It expresses Python frameworks such as Scikit-Learn and TensorFlow. By reading this book, you will learn about Aurellen Geron, a former Googler and Machine Learning consultant who has to deal with the concepts, institutions, and tools that you should be aware of.
3. The Master Algorithm By Pedro Domingos
It is regarded as one of the most significant, fascinating, and revolutionary intellectual works of all time. It is an excellent resource for anyone interested in learning how the revolution will unfold.
4. Make Your Own Neural Network
This book takes readers on a step-by-step journey through the mathematics of Neural Networks. It is divided into three parts: the first deals with many mathematical ideas, while the second describes practical work in which readers are taught about Python and encouraged to create their own neural networks.
5. Deep Learning With Python
This book introduces readers to the Python programming language and the powerful Keras library. As a reader, it will assist you in learning about deep learning concepts in various Artificial Intelligence problems such as speech and image recognition, text classification, and so on.
6. Artificial Intelligence: Modern Approach
Peter Norvig and Stuart Russell wrote it. It is regarded as one of the best standard books for Artificial Intelligence students. This book is extremely comprehensive, covering every aspect of Al.
7. Artificial Intelligence For Humans
It is written by Jeff Heaton and provides readers with an overview and understanding of Algorithms. This book is useful for those who do not have a strong mathematical foundation. Algorithms such as linear regression, clustering, and others are thoroughly covered in this book.
8. How To Create A Mind: The Secret Of Human Thought Revealed
Ray Kurzweil, author of numerous best-selling books, wrote this book. Kurzweil explains the potential of reverse-engineering the human brain and how it can be used to create even more intelligent machines in this book.
9. Machine Learning: For Beginners
Chris Sebastian is the author. It will tell you about the history of machine learning in its early days and how it has evolved into what it is today.
10. Super Intelligence: Paths, Dangers, Strategies
It was written by Nick Bostrom, a philosophy professor at Oxford University. Because of its increasing popularity, this book has been translated into several languages. It tells you about superintelligence, which can become extremely powerful and lead to outcomes beyond your control.
So, those are the top ten books on artificial intelligence that we recommend you begin reading. These technologies are used on a daily basis in our daily lives. As a result, it creates a desire to learn about and experiment with new technologies.