Alpaydin, Ethem
Machine Learning, revised and updated edition (The MIT Press Essential Knowledge series)
- ISBN 13:
- 9780262542524
- author:
- Alpaydin, Ethem
- format:
- Paperback / softback
- publisher:
- MIT Press
- language:
- English
- Publication Year:
- 2021
- Pages:
- 280
- Dimensions:
- 17.5 x 12.7 x 1.8 centimeters (0
- Genre:
- Nonfiction, Technology & Engineering, History,
- Condition:
- New
- Availability:
- Item usually sent within 10 working days
Description
Machine Learning is a concise primer on computer programs that learn from data, underpinning applications like voice recognition and driverless cars. No prior knowledge of math or programming is required to understand this essential concept.
This revised edition of the book offers new insights into challenges facing machine learning, including privacy, security, accountability, and bias. Ethem Alpaydin provides a comprehensive overview of "the new AI," covering topics such as the evolution of machine learning, important algorithms, pattern recognition, artificial neural networks, and transparency in data-based decision making.
Accessible to everyday readers and easily adoptable for classroom syllabi, this book provides a thorough introduction to machine learning without requiring any prior knowledge of mathematics or programming.
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