Machine Learning

By:

Mitchell, Tom M

Material type: Text

TextPublication details: Chennai McGraw Hill Education Private limited 2017Description: xvii,414 p. 23 cm ; PbkISBN:

978-1259096952

Subject(s):

Computer algorithms Machine learning

DDC classification:

006.31MIT

Contents:

1. Introduction 2. Concept Learning and the General-to-Specific Ordering 3. Decision Tree Learning 4. Artificial Neural Networks 5. Evaluating Hypotheses 6. Bayesian Learning 7. Computational Learning Theory 8. Instance-Based Learning 9. Genetic Algorithms 10. Learning Sets of Rules 11. Analytical Learning 12. Combining Inductive and Analytical Learning 13. Reinforcement Learning.

Summary: Mitchell covers the field of machine learning, the study of algorithms that allow computer programs to automatically improve through experience and that automatically infer general laws from specific data.

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Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode
Books	H.T. Parekh Library	GSB Collection	006.31MIT (Browse shelf(Opens below))	Checked out to Shah Priyam (UG19-75)	08/01/2022	B2485

GratisRs.473/-

1. Introduction
2. Concept Learning and the General-to-Specific Ordering
3. Decision Tree Learning
4. Artificial Neural Networks
5. Evaluating Hypotheses
6. Bayesian Learning
7. Computational Learning Theory
8. Instance-Based Learning
9. Genetic Algorithms
10. Learning Sets of Rules
11. Analytical Learning
12. Combining Inductive and Analytical Learning
13. Reinforcement Learning.

Mitchell covers the field of machine learning, the study of algorithms that allow computer programs to automatically improve through experience and that automatically infer general laws from specific data.

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