Artificial Intelligence: With an Introduction to Machine Learning, Second Edition

Richard E. Neapolitan, Xia Jiang

商品描述

The first edition of this popular textbook, Contemporary Artificial Intelligence, provided an accessible and student friendly introduction to AI. This fully revised and expanded update, Artificial Intelligence: With an Introduction to Machine Learning, Second Edition, retains the same accessibility and problem-solving approach, while providing new material and methods.

The book is divided into five sections that focus on the most useful techniques that have emerged from AI. The first section of the book covers logic-based methods, while the second section focuses on probability-based methods. Emergent intelligence is featured in the third section and explores evolutionary computation and methods based on swarm intelligence. The newest section comes next and provides a detailed overview of neural networks and deep learning. The final section of the book focuses on natural language understanding.

Suitable for undergraduate and beginning graduate students, this class-tested textbook provides students and other readers with key 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.

商品描述(中文翻譯)

這本受歡迎的教科書《當代人工智慧》的第一版,提供了一個易於理解且學生友善的人工智慧介紹。這本完全修訂和擴充的第二版《人工智慧:附帶機器學習介紹》保留了相同的易讀性和問題解決方法,同時提供了新的材料和方法。

這本書分為五個部分,重點介紹了從人工智慧中出現的最有用的技術。書的第一部分涵蓋了基於邏輯的方法,而第二部分則專注於基於概率的方法。第三部分介紹了新興智能,探討了基於演化計算和群體智能的方法。接下來是最新的一部分,詳細介紹了神經網絡和深度學習。書的最後一部分則專注於自然語言理解。

這本經過班級測試的教科書適合本科和研究生初學者,為學生和其他讀者提供了解決涉及在特定領域中智能行為的系統中出現的具有挑戰性問題的關鍵人工智慧方法和算法,例如醫學和軟體診斷、金融決策、語音和文本識別、基因分析等。