[Artificial Intelligence] Deeply understand the core algorithms and application practices of artificial intelligence

The first book you should read to learn AI

Artificial intelligence knowledge is already a necessity for today’s Internet technicians. However, the concepts, genres, and technologies of artificial intelligence are complicated. Which book is the most suitable for getting started?
This "Artificial Intelligence (3rd Edition)", known as the "Encyclopedia" of artificial intelligence, can be used as the first book for every technical person to enter the world of AI.

This book is an authoritative classic textbook in the field of artificial intelligence in the United States and has been widely praised by teachers and students. The Chinese version has been adopted by nearly a hundred colleges and universities as a professional textbook.
The second edition of this book was published in 2018. In the past five years, artificial intelligence technology has made breakthrough progress, of which large models are the representative. The third edition has content adjustments and upgrades based on the second edition to keep up with the pace of technological development. New developments and results such as deep learning, artificial intelligence security and artificial intelligence programming have been added.
The content of the book includes the history of artificial intelligence, the debate between thinking and intelligence, Turing test, search, game, knowledge representation, production system, expert system, machine learning, deep learning, natural language processing (NLP), automatic planning, genetic algorithm , fuzzy control, security, etc. In addition, it also introduces some new technologies and applications, such as robotics, advanced computer games, etc.
Picture
From the above content, it is not difficult to understand why this book is called an AI encyclopedia. It covers the theory and application of important artificial intelligence technologies, helps readers establish a systematic knowledge framework, and lays a solid foundation for in-depth research on artificial intelligence.
So, what should be the relationship between humans and machines? Let’s see what the author says.

Artificial intelligence should be people-centered

The author of "Artificial Intelligence (3rd Edition)" has a clear view: "Artificial intelligence is composed of objects such as people, ideas, methods, machines, and outcomes. "
First of all, artificial intelligence is made up of people. People have ideas and turn those ideas into methods. These ideas can be expressed in terms of algorithms, heuristics, programs, or systems that serve as the backbone of computing. Finally, we get the products of these machines (programs), called "results."
This is the concept of people-oriented. Fundamentally speaking, machines should realize people’s ideas and embody people’s will. Therefore, a person cannot hand over his thinking to the machine in the end, but should let the machine help him improve his efficiency and achieve greater things.
Even in a book about the theory and application of artificial intelligence, there must be a humanistic spirit. Therefore, the author specially added a "Personal Anecdotes" column to introduce people who have contributed to the development of artificial intelligence. From people to ideas to methods, these are covered throughout the chapters of this book.

Artificial Intelligence (3rd Edition)

This book provides a comprehensive introduction to all aspects of artificial intelligence, covering broad and in-depth content while focusing on the combination of theory and practice. It not only covers traditional artificial intelligence technologies, such as search, knowledge representation and reasoning, planning, etc., but also involves cutting-edge fields of modern artificial intelligence such as machine learning, natural language processing, and computer vision.

By reading "Artificial Intelligence (3rd Edition)", readers can understand the basic concepts, methods and algorithms of artificial intelligence, and gain an in-depth understanding of the theoretical basis and development history of artificial intelligence. The examples and cases in the book also help readers better understand and apply the knowledge they have learned.

The book's strengths lie in its comprehensiveness and authoritativeness. The author explains complex concepts and algorithms in a simple and easy-to-understand manner, using clear language and diagrams so that readers can easily understand and digest the content in the book. In addition, the book also provides a wealth of exercises and programming assignments to help readers consolidate the knowledge they have learned.

Due to the rapid development of the field of artificial intelligence, one book cannot cover all the latest advances and technologies. Therefore, when reading this book, readers need to be aware that some of the content may be out of date or no longer the latest research.

Overall, "Artificial Intelligence (3rd Edition)" is a classic and authoritative artificial intelligence textbook suitable for students, researchers and practitioners who are interested in artificial intelligence. It provides readers with the opportunity to deeply understand the basic concepts and methods of artificial intelligence and lays a solid foundation for further exploration and research in this field.

Know six points and understand what artificial intelligence is all about

This book is a basic textbook that covers a wide range of knowledge and allows readers to get started quickly. The content is also arranged from the simplest to the most profound, explaining both theory and practicality. The whole book is divided into six parts, and we study them in order.

Basic concepts and history

Introduce the definition, problem areas and development history of artificial intelligence. Starting from the Turing Test, we review the progress and twists and turns of the development journey of artificial intelligence, as well as its development in the new millennium.

basic knowledge

Introduction to basic technologies of artificial intelligence, including search, logic, knowledge representation, and production systems. The main knowledge points include blind search, informed search, search in games, logic in artificial intelligence, knowledge representation, and production systems.

knowledge based system

Introduces knowledge-based artificial intelligence systems, including knowledge uncertainty representation and reasoning, expert systems and knowledge engineering, traditional machine learning and deep learning methods, and search methods inspired by the natural world.

Advanced Topics

Introduction to NLP, including the history and genre of NLP, syntactic analysis, statistical methods, data collection, information extraction, question answering and speech understanding, etc. Automatic planning is also introduced, including basic concepts and methods of planning and some representative planning systems.

now and future

Discuss the applications of artificial intelligence in three directions, and introduce the history, technology and applications of robotics. Introduces some of the more advanced computer gaming techniques, including checkers, chess, and other gambling games. Finally, we review and summarize the content of this book, introduce the IBM Watson intelligent question answering system, and look forward to the future of artificial intelligence.

Security and programming

For artificial intelligence in network security, the basic concepts of network security are explained, including different protocols, security policies, intrusion detection, trusted systems, etc.

Introduces three programming languages ​​for artificial intelligence, including Prolog, Python, and MATLAB.

After studying these six parts, readers will enter the door of the world of artificial intelligence. They can freely apply AI auxiliary tools in work and life, or delve into a certain topic technology to change the world.

Artificial intelligence is already a basic subject

At present, artificial intelligence has developed into a basic subject with the support of an independent subject system, academic research and educational institutions, and has extensive applications and influence in various fields and society. It is one of the important driving forces for scientific and technological progress and social development.
Therefore, in the future, artificial intelligence will be the infrastructure of the entire society, and we must learn and master it now. If you can only choose one book to learn artificial intelligence, then it must be this "Artificial Intelligence (3rd Edition)".

This book has the following characteristics

▮ Use simple and clear language and diagrams to allow readers to easily understand complex concepts and algorithms;

▮ Practical, contains a wealth of cases, covering a variety of application scenarios, such as computer gaming, medical diagnosis, etc.;

▮ It is readable and interesting, introducing many outstanding figures in the field of artificial intelligence, telling their experiences and contributions to artificial intelligence;

▮ Contains a large number of exercises to help readers review knowledge and consolidate the foundation.

This book is also a good helper for teachers of related majors in colleges and universities, because it provides a large number of teaching aids, references and extended reading materials, and the supporting resources are quite rich. On the one hand, these supporting resources can help teachers teach, and on the other hand, they can also help students gain an in-depth understanding of new developments in the field of artificial intelligence.

Click here to go straight to: Book Purchase Link
This classic artificial intelligence textbook can help beginners get started quickly, and professionals can keep it handy for reference at any time. To open the door to the world of artificial intelligence, just turn to the first page of "Artificial Intelligence (3rd Edition)".