Machine learning : theory and practice

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Material type: Text

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Contents:

Chapter 1: Introduction to Machine Learning

Chapter 2: Nearest Neighbor-Based Models

Chapter 3: Models Based on Decision Trees

Chapter 4: The Bayes Classifier

Chapter 5: Machine Learning Based on Frequent Itemsets

Chapter 6: Representation

Chapter 7: Clustering

Chapter 8: Linear Discriminants for Machine Learning

Chapter 9: Deep Learning

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Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode	Item holds
Books	IIITD General Stacks	Computer Science and Engineering	006.31 MUR-M (Browse shelf(Opens below))	Available		013549

Total holds: 0

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