Machine Learning and Artificial Intelligence
Joshi, Ameet V.
- 出版商: Springer
- 出版日期: 2020-10-07
- 售價: $3,680
- 貴賓價: 9.5 折 $3,496
- 語言: 英文
- 頁數: 261
- 裝訂: Quality Paper - also called trade paper
- ISBN: 3030266249
- ISBN-13: 9783030266240
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相關分類:
人工智慧、Machine Learning
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相關翻譯:
機器學習與人工智能:從理論到實踐 (簡中版)
相關主題
商品描述
This book provides comprehensive coverage of combined Artificial Intelligence (AI) and Machine Learning (ML) theory and applications. Rather than looking at the field from only a theoretical or only a practical perspective, this book unifies both perspectives to give holistic understanding. The first part introduces the concepts of AI and ML and their origin and current state. The second and third parts delve into conceptual and theoretic aspects of static and dynamic ML techniques. The forth part describes the practical applications where presented techniques can be applied. The fifth part introduces the user to some of the implementation strategies for solving real life ML problems.
The book is appropriate for students in graduate and upper undergraduate courses in addition to researchers and professionals. It makes minimal use of mathematics to make the topics more intuitive and accessible.
- Presents a full reference to artificial intelligence and machine learning techniques - in theory and application;
- Provides a guide to AI and ML with minimal use of mathematics to make the topics more intuitive and accessible;
- Connects all ML and AI techniques to applications and introduces implementations.