Artificial Intelligence By Example - Second Edition
暫譯: 人工智慧實例解析 - 第二版
Rothman, Denis
- 出版商: Packt Publishing
- 出版日期: 2020-02-28
- 售價: $1,450
- 貴賓價: 9.5 折 $1,378
- 語言: 英文
- 頁數: 578
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1839211539
- ISBN-13: 9781839211539
-
相關分類:
人工智慧
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商品描述
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.
商品描述(中文翻譯)
人工智慧(AI)有潛力在各個領域複製人類。《人工智慧範例(第二版)》是您理解AI如何構建的起點,並透過引人入勝且令人興奮的範例來幫助您。
這本書將使您成為一位適應性思考者,並幫助您將概念應用於現實世界的情境。透過一些最有趣的AI範例,從簡單的棋類引擎到認知聊天機器人,您將學會如何應對您所競爭的機器。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),並使用神經網絡(如遞迴神經網絡(RNN)和卷積神經網絡(CNN))來發展聊天機器人的情感商數。
本版還新增了混合神經網絡的範例,結合強化學習(RL)和深度學習(DL)、鏈式算法、將無監督學習與決策樹和隨機森林結合、結合深度學習和遺傳算法、聊天機器人的對話式用戶介面(CUI)、神經形態計算以及量子計算。
在本書結束時,您將理解AI的基本原理,並完成多個範例,這將幫助您開發自己的AI解決方案。
作者簡介
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.
作者簡介(中文翻譯)
丹尼斯·羅斯曼(Denis Rothman)畢業於索邦大學(Sorbonne University)和巴黎第七大學(Paris-Diderot University),並撰寫了最早的 word2matrix 嵌入解決方案之一。丹尼斯·羅斯曼是三個尖端人工智慧(AI)解決方案的作者:30 多年前的第一個 AI 認知聊天機器人;一個以利潤為導向的 AI 資源優化系統;以及一個基於認知模式的 AI APS(高級計劃與排程)解決方案,該解決方案目前在航空航天、鐵路、能源、服裝及許多其他領域廣泛使用。最初設計為 IBM 的認知機器人,後來發展成為至今仍在使用的穩健 APS 解決方案。