Mathematics for Machine Learning

By:

Deisenroth, Marc Peter

Contributor(s):

Material type: Text

TextPublication details: Cambridge University Press 2020 New DelhiDescription: 371pISBN:

9781009108850

Subject(s):

Electronics and Instrumentations

DDC classification:

006.31 DEI

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Holdings
Item type	Current library	Item location	Collection	Call number	Status	Barcode
Book	NIMA Knowledge Centre	9th Floor Reading Zone	General	006.31 DEI (Browse shelf(Opens below))	Available	T0052701
Book	NIMA Knowledge Centre	9th Floor Reading Zone	General	006.31 DEI (Browse shelf(Opens below))	Available	T0052702
Book	NIMA Knowledge Centre	9th Floor Reading Zone	General	006.31 DEI (Browse shelf(Opens below))	Available	T0052700
Reference Book	NIMA Knowledge Centre	7th Floor Silence Zone	Reference	006.31 DEI (Browse shelf(Opens below))	Not For Loan	T0052699
Book	NIMA Knowledge Centre	9th Floor Reading Zone	General	006.31 DEI (Browse shelf(Opens below))	Available	T0052703

Total holds: 0

Part – 1: Mathematical Foundations
Introduction and Motivation
Linear Algebra
Analytic Geometry
Matrix Decompositions
Vector Calculus
Probability and Distributions
Continuous Optimization
Part – 2: Central Machine Learning Problems
When Models Meet Data
Linear Regression
Dimensionality Reduction with Principal Component Analysis
Density Estimation with Gaussian Mixture Models
Classification with Support Vector Machines
References
Index

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