Artificial Intelligence : A Modern ApproachRussell, Stuart J.; Norvig, Peter
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Chapter 1. Introduction Chapter 2. Concept Learning and the General-to-Specific Ordering Chapter 3. Decision Tree Learning Chapter 4. Artificial Neural Networks Chapter 5. Evaluating Hypotheses Chapter 6. Bayesian Learning Chapter 7. Computational Learning Theory Chapter 8. Instance-Based Learning Chapter 9. Inductive Logic Programming Chapter 10. Analytical Learning Chapter 11. Combining Inductive and Analytical Learning Chapter 12. Reinforcement Learning.
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Machine Learning (ISBN: 0070428077 / 0-07-042807-7) Mitchell, Thomas M. Quantity Available: 13
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Machine Learning (ISBN: 0070428077 / 0-07-042807-7) Mitchell, Thomas M. Quantity Available: 19
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Machine Learning (ISBN: 0070428077 / 0-07-042807-7) Mitchell, Thomas M. Quantity Available: 1
Book Description: McGraw-Hill Science/Engineering/Math, 1997. Hardcover. Book Condition: New. 167mm x 22mm x 240mm. This exciting addition to the McGraw-Hill Series in Computer Science focuses on the concepts and techniques that contribute to the rapidly changing field of machine learning?including probability and statistics, artificial intelligence, and neural networks?unifying them all in a logical and coherent manner. Machine Learning serves as a useful reference tool for software developers and researchers, as well as an outstanding text for college students. 432 pages. Bookseller Inventory # S0543690 Bookseller & Payment Information | More Books from this Seller | Ask Bookseller a Question |
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Machine Learning (ISBN: 0070428077 / 0-07-042807-7) Mitchell, Thomas M. Quantity Available: 1
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Machine Learning (ISBN: 0070428077 / 0-07-042807-7) Mitchell, Thomas M. Quantity Available: 3
Book Description: McGraw-Hill Science/Engineering/Math, 1997. Hardcover. Book Condition: New. 167mm x 22mm x 240mm. This exciting addition to the McGraw-Hill Series in Computer Science focuses on the concepts and techniques that contribute to the rapidly changing field of machine learning—including probability and statistics, artificial intelligence, and neural networks—unifying them all in a logical and coherent manner. Machine Learning serves as a useful reference tool for software developers and researchers, as well as an outstanding text for college students. 432 pages. Bookseller Inventory # S0543690 Bookseller & Payment Information | More Books from this Seller | Ask Bookseller a Question |
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Machine Learning (ISBN: 0070428077 / 0-07-042807-7) Mitchell, Thomas M. Quantity Available: 3
Book Description: McGraw-Hill Science/Engineering/Math, 1997. Hardcover. Book Condition: New. 167mm x 22mm x 240mm. This exciting addition to the McGraw-Hill Series in Computer Science focuses on the concepts and techniques that contribute to the rapidly changing field of machine learning?including probability and statistics, artificial intelligence, and neural networks?unifying them all in a logical and coherent manner. Machine Learning serves as a useful reference tool for software developers and researchers, as well as an outstanding text for college students. 432 pages. Bookseller Inventory # S0543690 Bookseller & Payment Information | More Books from this Seller | Ask Bookseller a Question |
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