Machine Learning by Tom Mitchell:
Author: Tom M. Mitchell
Publisher: McGraw Hill Education
Pages: 432 pages
About The Author:
Machine Learning by Tom Mitchell – Tom Michael Mitchell (born August 9, 1951) is an American computer scientist and E. at Carnegie Mellon University (CMU). Friedkin is a professor at the University. He is the former chairman of the machine learning department at CMU. Mitchell is known for his contributions to the advancement of machine learning, artificial intelligence, and cognitive neuroscience and is the author of text writer machine learning. He is a member of the UK States National Academy of Companies since 2010. He is also a Fellow of the American Association for the Advancement of Science and the Fellow Association for the Advancement of Artificial Intelligence. In October 2018, Mitchell was appointed as the interim dean of the School of Computer Science at Carnegie Mellon.
About This Book:
This textbook provides a single source introduction to the primary approach to machine learning. It is for advanced undergraduate and graduate students, as well as developers and researchers in the field. No prior background has been assumed in artificial intelligence or statistics. Several key algorithms discussed in the book, example date sets and project-oriented home work assignments are accessible through the World Wide Web.
- The book integrates concepts and techniques from various fields in an integrated manner
- Recent topics such as genetic algorithms, re-enforcement learning and inductive reasoning programming are included.
- The writing style is clear, explanatory and precise.