An excellent resource for self-study on artificial intelligence, offering a practical and application-focused approach. Each chapter includes study exercises, highlighted examples, definitions, theorems, and illustrative cartoons. The second edition has been updated with new material on deep learning.
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See also
- Software Exorcism: A Handbook for Debugging and Optimizing Legacy Code by Bill Blunden (2003)
- Hormones and the Endocrine System: Textbook of Endocrinology by Bernhard Kleine (2016)
- Genetics: A Conceptual Approach 6e by Benjamin A. Pierce (2017)
- A Functional Approach to Java by Ben Weidig (2022)
- Calculus of variations and optimal control by Amol Sasan (2005)