1、Contemporary Artificial Intelligence

【作者】：Neapolitan, Richard E.

【出版社】：CRC Press

【简介】：The notion of artificial intelligence (AI) often sparks thoughts of characters from science fiction, such as the Terminator and HAL 9000. While these two artificial entities do not exist, the algorithms of AI have been able to address many real issues, from performing medical diagnoses to navigating difficult terrain to monitoring possible failures of spacecrafts. Exploring these algorithms and applications, Contemporary Artificial Intelligence presents strong AI methods and algorithms for solving challenging problems involving systems that behave intelligently in specialized domains such as medical and software diagnostics, financial decision making, speech and text recognition, genetic analysis, and more. One of the first AI texts accessible to students, the book focuses on the most useful problem-solving strategies that have emerged from AI.

【电子书来源】：https://www.itextbook.cn/f/book/bookDetail?status=1&bookId=60a28e360be3490e9db17edc194634da

2、Artificial Intelligence : Foundations of Computational Agents

【作者】：David L. Poole

【出版社】：Cambridge University Press

【简介】：In past few years, agile software development has seen tremendous growth. There is a huge demand for software delivery solutions that are fast yet flexible to numerous amendments. As a result, Continuous Integration (CI) and Continuous Delivery (CD) methodologies are gaining popularity.

【电子书来源】：https://www.itextbook.cn/f/book/bookDetail?status=1&bookId=d54c1b6b8f874eeb862080c3a6186eda

3、Artificial Intelligence: Principles and Applications

【作者】：Vinod Chandra & Hareendran

【出版社】：McGraw Hill

【简介】：This book promises to provide the most number of case studies and worked-out examples among the books of its genre. The text is written in a highly interactive manner which fulfils the curiosity of any reader. Moreover, the content takes off from the introduction to artificial intelligence, which is followed by explaining about intelligent agents. Various problem-solving strategies, knowledge representation schemes are also included with numerous case studies and applications. Different aspects of learning, nature-inspired learning, along with natural language processing are also explained in depth. The algorithms and pseudo codes for each topic make this book useful for students.

【电子书来源】：https://www.itextbook.cn/f/book/bookDetail?status=1&bookId=434aa3149f1043cc9e43342b4339f9d8

4、New Foundation of Artificial Intelligence

【作者】：Ming Xie

【出版社】：WSPC

【简介】：This book lays a new foundation toward achieving artificial self-intelligence by future machines such as intelligent vehicles. Its chapters provide a broad coverage to the three key modules behind the design and development of intelligent vehicles for the ultimate purpose of actively ensuring driving safety as well as preventing accidents from all possible causes. Self-contained and unified in presentation, the book explains in details the fundamental solutions of vehicle's perception, vehicle's decision-making, and vehicle's action-taking in a pedagogic order.Besides the fundamental knowledge and concepts of intelligent vehicle's perception, decision and action, this book includes a comprehensive set of real-life application scenarios in which intelligent vehicles will play a major role or contribution.

【电子书来源】：https://www.itextbook.cn/f/book/bookDetail?status=1&bookId=c15854713a7f4d178e5abcf9cac7446b

5、Artificial Intelligence Programming with Python: From Zero to Hero

【作者】：Perry Xiao

【出版社】：Wiley

【简介】：This book aims to demystify AI and teach readers about AI from scratch, by using simple, plain, languages and simple, illustrative, code examples. This book is divided into three parts.In part one, readers will follow an easy to read introduction about AI, including the history, the types of AI, the current status and possible future trend. It then introduces Python, A widely used programming tool for AI. In part two, we introduce Machine Learning aspect of AI, topics include classifications, regressions, and Clustering. It also includes the most popular Reinforcement Learning. In part three, it introduces Deep Learning aspect of AI, topics include Image Classifications, Transfer Learning, Recurrent Neural Network, and the latest Generative Adversarial Networks.

【电子书来源】：https://www.itextbook.cn/f/book/bookDetail?status=1&bookId=b1019a26517e417fb18d7576838ca76a