9 Best Machine Learning and Artificial Intelligence Books

The shape of future technology is at the hand of Artificial Intelligence. “Artificial intelligence” and its baby ‘Machine Learning’ have become so powerful that other innovations have fallen way behind in this century. Its presence is hidden within us, but performing numerous tasks to make our life easier.

Our mobile phones, laptops, cameras, airplanes, spaceships, submarines, war equipment, etc., are adopting AI for a quick, smooth, and perfect result. Today, we will discuss a list of artificial intelligence books and machine learning books that will show the evolution, importance, and application of Machine Learning and Artificial Intelligence.

As I said, Artificial Intelligence is the most powerful innovation; thus, there is no shortcut to learning it. All the machines that are there so far and on the way to existence will be with the touch of AI.

So, if anyone lacks knowledge of artificial intelligence, it will be very tough to handle all the innovative and necessary machines and devices. We are here to suggest some of the best artificial intelligence PDF books and some machine learning books to make your study easier and more fruitful on this subject. 

Artificial Intelligence and Machine Learning Books

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This write-up will provide you with some of the best books on Artificial Intelligence and Machine Learning available on the internet. These books will help you know the background, development, structure, and deep analysis of AI and ML.

Books on some important fields, like education, agriculture, games, transport, etc., are mentioned, and the importance, application, and all other aspects of AI are pointed out clearly. I hope you can get all kinds of knowledge and taste of Artificial Intelligence and machine learning books from these.

1. Artificial Intelligence

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It is a basic but detailed Artificial intelligence pdf book. The book discusses the general and initial learnings about AI and then systematically goes into depth. It has different chapters as the discussion is elaborated and keeps a summary and background to make it concise and fruitful to the readers. The book gives different outstanding ways of learning artificial intelligence. You can learn different rules and languages from this book.

Table of Contents

• Part I: Representations and Methods
  • Chapter 1: Intelligent Computer
  • Chapter 2: Semantic Nets and Description Matching
  • Chapter 3: Generate and Test, Means-Ends Analysis, and Problem Reduction
  • Chapter 4: Nets and Basic Search
  • Chapter 5: Nets and Optimal Search
  • Chapter 6: Trees and Adversarial Search
  • Chapter 7: Rules and Rule Chaining
  • Chapter 8: Rules, Substrates, and Cognitive Modeling
  • Chapter 9: Frames and Inheritance
  • Chapter 10: Frames and Commonsense
  • Chapter 11: Numeric Constraints a Propagation
  • Chapter 12: Symbolic Constraints and Propagation
  • Chapter 13: Logic and Resolution Proof
  • Chapter 14: Bracketing and Truth Maintenance
  • Chapter 15: Planning
• Part II: Learning and Regularity Recognition
  • Chapter 16: Learning by Analyzing Differences
  • Chapter 17: Learning by Explaining Experience
  • Chapter 18: Learning by Correcting Mistakes
  • Chapter 19: Learning by Recording Cases
  • Chapter 20: Learning by Managing Multiple Models
  • Chapter 21: Learning by Identification Trees
  • Chapter 22: Learning by Training Neural Nets
  • Chapter 23: Learning by Training Approximation Nets
  • Chapter 25: Learning by Simulating Evolution
• Part III: Vision and Languages
  • Chapter 26: Recognizing Objects
  • Chapter 27: Describing Images
  • Chapter 28: Expressing Language Constraints 
  • Chapter 29: Responding to Questions and Commands

2. Handbook of Artificial Intelligence

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How about a book on AI that contains all of your answers related to AI? Yes, this is one of the best artificial intelligence and machine learning books, rich in all information related to Artificial Intelligence and Machine Learning. The book is too vast and discusses every topic in an elaborate form.

AI, ML, and DL are all very nicely discussed in the book. Some more important topics, such as Automatic Programming and important AI platforms, have come up in the book. The book has a special emphasis on Medicine, Education, and Chemistry in its discussion.

Table of contents

• Search
• Representation of Knowledge
• Natural Language Understanding
• Speech Understanding System
• AI Programming Language 
• Application-Oriented AI Research- Part I
• Application-Oriented AI Research – Part II- Chemistry
• Application-Oriented AI Research- Part III- Medicine
• Application-Oriented AI Research- Part IV- Education
• Automatic Programming

3. Artificial Intelligence in Society

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The book is one of the perfect artificial intelligence books for people who want to grow interested in the topic. The book’s layout is outstanding, and almost all the areas and platforms are well covered. How AI is used worldwide and how we are engaged in AI are well discussed in the book. All the topics will end up with references and notes to make it authentic. 

Table of Contents

• Technical Landscape
• Economic Landscape
• AI Applications
• Public Policy Considerations
• AI Policies and Initiatives

4. Artificial Intelligence in Education

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Education is always an essential platform for the application field of any innovation. The proper application of AI is this book’s main topic of discussion. The book explains why AI is important in education and how to utilize it. It did not forget to highlight the background of artificial intelligence and machine learning.

The book will be very easy for the new reader as there is a discussion on the terminology. Advanced-level readers will also get enough to read who know AI but did not think of it with education. You can consider it one of the best artificial intelligence and machine learning books. 

Table of Contents

• The Context
• The What
• The How
• The Role Assessment
• AI in Education
• The Background of AI
• AI Techniques and Terminology
• How AI Works in Education
• Applications of AI in Education

5. Artificial Intelligence and Games

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The book is a great book that illuminates the history, evolution, progress, and further advancement of AI and Games. It will explain why you should relate to this book and go deeper into its study. The relationship between artificial intelligence and the game is very clear in the book’s first part.

Gradually, the book will teach you different methods and algorithms related to the topic. You can learn how to use AI in games like an expert, including modeling players. Finally, you will gain knowledge and visualization of future AI and games from the book.

Table of Contents

• Part I: Background
  • Brief History and Intro
  • AI Methods
• Part II: Ways of Using AI in Games
  • Playing Games
  • Generating Content
  • Modeling Players
• Part II: Road Ahead
  • Game AI Panorama
  • Frontiers of Game AI Research

6. Practical Artificial Intelligence for Dummies

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Practical Artificial Intelligence for Dummies is a Narrative Science Edition and one of the best Artificial Intelligence books. The book evaluates artificial intelligence based on business requirements and erases all hype and confusion about AI. The reader can get inspiration and plan for future AI after reading the book. 

Table of Contents

• Preparing for Out Robot Masters
• Thinking About Thinking: The AI Ecosystem
• Driving Intelligence with Big Data
• Embracing Emerging Technologies
• Communicating with AI
• Preparing for Future and Ten Tips on How to Get There

7. Machine Learning for Dummies

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IBM brings you one of the best machine learning books named ‘Machine Learning for Dummies’ that offers you a great understanding of the topic. The book mainly discusses the first two parts to make the basic understanding of ML clear and how to apply ML. Gradually it discusses the ways to develop skills and utilization of ML in different innovative ways.

Table of Contents

• Understanding Machine Learning
• Applying Machine Learning
• Learning Machine Skills
• Using Machine Learning to Provide Solutions to Business Problems
• Ten Predictions on the Future of Machine Learning

8. Understanding Machine Learning From Theory to Algorithms

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Machine learning is an integral part of artificial intelligence. This book owns a good place among all the best machine-learning books available. The book gives every detail of the theory that you need to know about ML. Simultaneously, as it says in its title, it provides full details of the algorithm to make the readers clear. You can get an exercise session after each chapter of the book.

Table of Contents

• Part I: Foundations
  • A Gentle Start
  • A Formal Learning Model
  • Learning Bus Uniform Convergence
  • The Bias-Complexity Tradeoff
  • The VC-Dimension
  • No uniform Learnability
  • The Runtime of Learning
• Part II: From Theory to Algorithms
  • Linear Predictors
  • Boosting
  • Model Selection and Validation
  • Convex Learning Problems
  • Regularisation and Stability 
  • Stochastic Gradient Descent
  • Support Vector Machines
  • Kernel Methods
  • Multi-class, Tanking, and Complex Prediction Problems
  • Decision Trees
  • Nearest Neighbor
  • Neural Networks
• Part III: Additional Learning Models
  • Online Learning
  • Clustering
  • Dimensionality Reduction
  • Generative Models
  • Feature Selection and Generation
• Part IV: Advanced Theory
  • Radmacher Complexities
  •  Covering Numbers
  • Proof of the Fundamental Theorem of Learning Theory
  • Multi-class Learnability
  • Compression bounds
  • PAC- Bayes

9. Deep Learning With Python

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Deep learning is an essential branch of Machine Learning. We can consider it as a very standard and one of the best machine learning books. The book starts with the fundamentals of deep learning, and after providing an introduction and the basics, it discusses advanced-level studies.

A very nice, comprehensive discussion about the neural network with mathematical explanation is one of the book’s prime discussions. The basic starting with neural networking is also a topic of study in the book. 

Table of Contents

• Part I: Fundamentals of Deep Learning
  • What is deep learning?
  • Mathematical Building Blocks of Neural Networks 
  • Getting Started With Neural Networks
  • Fundamentals of Machine Learning 
• Part II: Deep Learning in Practice
  • Deep Learning for Computer Vision
  • Deep Learning for Text and Sequence 
  • Advanced Deep-Learning Best Practices
  • Generative Deep Learning

Finally, Insights

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Artificial intelligence is now a technology that will produce different systems to ease human work shortly. As ideal users of present technology and a developer of rising tech, we must work hard to know more and perfect artificial intelligence. So far, we have tried to give you some essential and quality deep learning, machine learning, and artificial intelligence books that will feed your hunger for learning.

We hope these books will help you a lot in your knowledge-seeking. Please share our efforts and ease up others’ efforts to find the best artificial intelligence books. You are always welcome if you have any suggestions or recommendations. Please let us know by commenting below. Your suggestions will be highly appreciated and valued.