Artificial Intelligence By Example - Second Edition

Artificial intelligence (AI) has the potential to replicate humans in every field. Artificial Intelligence By Example, Second Edition serves as a starting point for you to understand how AI is built, with the help of intriguing and exciting examples.

This book will make you an adaptive thinker and help you apply concepts to real-world scenarios. Using some of the most interesting AI examples, right from computer programs such as a simple chess engine to cognitive chatbots, you will learn how to tackle the machine you are competing with. You will study some of the most advanced machine learning models, understand how to apply AI to blockchain and Internet of Things (IoT), and develop emotional quotient in chatbots using neural networks such as recurrent neural networks (RNNs) and convolutional neural networks (CNNs).

This edition also has new examples for hybrid neural networks, combining reinforcement learning (RL) and deep learning (DL), chained algorithms, combining unsupervised learning with decision trees, random forests, combining DL and genetic algorithms, conversational user interfaces (CUI) for chatbots, neuromorphic computing, and quantum computing.

By the end of this book, you will understand the fundamentals of AI and have worked through a number of examples that will help you develop your AI solutions.

人工智慧（AI）有潛力在各個領域中模仿人類。《人工智慧實例》第二版作為您了解AI建構方式的起點，提供了引人入勝且令人興奮的實例。

本書將使您成為一個適應性思考者，並幫助您將概念應用於現實情境。從簡單的國際象棋引擎到認知聊天機器人等計算機程序，您將學習如何應對與您競爭的機器。您將研究一些最先進的機器學習模型，了解如何將AI應用於區塊鏈和物聯網（IoT），並使用循環神經網絡（RNN）和卷積神經網絡（CNN）等神經網絡開發聊天機器人的情感商數。

本版還提供了混合神經網絡的新實例，結合了強化學習（RL）和深度學習（DL），以及結合了無監督學習和決策樹、隨機森林、深度學習和遺傳算法、聊天機器人的對話用戶界面（CUI）、神經形態計算和量子計算。

通過閱讀本書，您將了解AI的基礎知識並通過多個實例來開發自己的AI解決方案。

Denis Rothman graduated from Sorbonne University and Paris-Diderot University, writing one of the very first word2matrix embedding solutions. Denis Rothman is the author of three cutting-edge AI solutions: one of the first AI cognitive chatbots more than 30 years ago; a profit-orientated AI resource optimizing system; and an AI APS (Advanced Planning and Scheduling) solution based on cognitive patterns that is now used worldwide in aerospace, rail, energy, apparel and many other fields. Designed initially as a cognitive bot for IBM, it then went on to become a robust APS solution used to this day.

Denis Rothman畢業於索邦大學和巴黎第四大學，他撰寫了最早的word2matrix嵌入解決方案之一。Denis Rothman是三個尖端人工智慧解決方案的作者：30多年前的第一個人工智慧認知聊天機器人；以利潤為導向的人工智慧資源優化系統；以認知模式為基礎的人工智慧高級計劃和排程解決方案，現在在航空航天、鐵路、能源、服裝等眾多領域中全球使用。最初設計為IBM的認知機器人，現在已成為一個堅固的高級計劃和排程解決方案，至今仍在使用中。