Pattern recognition and machine learning Christopher M Bishop

By:

Bishop, Christopher M

Material type: Text

9781493938438

DDC classification:

006.4 BIS

Contents:

Probability Distributions.- Linear Models for Regression.- Linear Models for Classification.- Neural Networks.- . Kernel Methods.- Sparse Kernel Machines.- Graphical Models.- Mixture Models and EM.- Approximate Inference.- Sampling Methods.- Continuous Latent Variables.- Sequential Data.- Combining Models

Summary: Familiarity with multivariate calculus and basic linear algebra is required, and some experience in the use of probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.

List(s) this item appears in: New Arrivals December 2021

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Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode
Reference	IIITDM Kurnool Reference	Reference	006.4 BIS (Browse shelf(Opens below))	Not For Loan		0004024
Books	IIITDM Kurnool General Stacks	Non-fiction	006.4 BIS (Browse shelf(Opens below))	Checked out	06.02.2025	0004025

Familiarity with multivariate calculus and basic linear algebra is required, and some experience in the use of probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.

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