10 Basic books for Artificial Intelligence in 2020

1. Artificial Intelligence For Dummies – Artificial Intelligence Book

 - Artificial Intelligence Book

The book provides a clear introduction to AI and how it’s being used today. Inside this book, you will get an overview of the technology. It also talks about the common misconceptions surrounding it. The book explores the use of AI in computer applications, scope, and history of AI.

2. Superintelligence – Artificial Intelligence Book

This book is the most comprehensive, up-to-date introduction to the theory and practice of the AI subject. This AI book brings readers up to date on the latest technologies, presents concepts in a more unified manner. The book also offers machine learning, deep learning, transfer learning multi-agent systems, robotics, etc.

3. Artificial Intelligence: A Modern Approach – Artificial Intelligence Book

This book offers a basic conceptual theory of artificial intelligence. It acts as complete reference material for beginners. It helps students in undergraduate or graduate-level courses in Artificial Intelligence.

4. Artificial Intelligence Engines: A Tutorial Introduction to the Mathematics of Deep Learning – Artificial Intelligence Book

The book explains how AI algorithms, in the form of deep neural networks. It is rapidly eliminating that advantage. Deep neural networks use for many business applications like a cancer diagnosis, object recognition, speech recognition, robotic control, chess, poker, etc.

5. Life 3.0: Being Human in the Age of Artificial Intelligence – Artificial Intelligence Book

The book talks about the rise of AI how it has the potential to transform our future more than any other technology. This book also cover full range of viewpoints or the most controversial issues. It talks about the meaning, consciousness, and the ultimate physical limits on life in the cosmos.

6. Make Your Own Neural Network

This reference book takes you on a fun and unhurried journey. The book starts with very simple ideas, and gradually building up an understanding of how neural networks work. In this book, you will also learn to code in Python and make your neural network to offering professionally developed networks.

7. Machine Learning For Absolute Beginners

The book covers chapters like What is machine learning, types of machine learning, the machine learning toolbox, data scrubbing setting up your data, regression analysis. The book also covers clustering, support vector machines, artificial neural networks, Building a model in Python, etc. It includes algorithms like Cross-Validation, Ensemble Modelling, Grid Search, Feature Engineering, and One-hot Encoding.

8. Deep Learning Illustrated

This book talks about many powerful new artificial intelligence capabilities and algorithm performance. Deep Learning Illustrated and offers a complete introduction to the discipline’s techniques.

9. Predictive Analytics For Dummies

With the help of this reference book, you will learn about the core of predictive analytics. The book offers some common use cases to help you get started. It also covers details on modeling, k-means clustering. The book also provides tips on business goals and approaches.

10. Hands-On Machine Learning

This reference material also teaches you techniques, starting with simple linear regression and progressing to deep neural networks. In this book, you will also explore several training models, including support vector machines, decision trees, random forests, and ensemble methods. You can also learn techniques for training and scaling deep neural networks.

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