Mathematics for Machine Learning
Material type:
- 9781009108850
- 006.31 DEI
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NIMA Knowledge Centre | 9th Floor Reading Zone | General | 006.31 DEI (Browse shelf(Opens below)) | Available | T0052701 | |||
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NIMA Knowledge Centre | 9th Floor Reading Zone | General | 006.31 DEI (Browse shelf(Opens below)) | Available | T0052702 | |||
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NIMA Knowledge Centre | 9th Floor Reading Zone | General | 006.31 DEI (Browse shelf(Opens below)) | Available | T0052700 | |||
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NIMA Knowledge Centre | 7th Floor Silence Zone | Reference | 006.31 DEI (Browse shelf(Opens below)) | Not For Loan | T0052699 | |||
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NIMA Knowledge Centre | 9th Floor Reading Zone | General | 006.31 DEI (Browse shelf(Opens below)) | Available | T0052703 |
Total holds: 0
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006.31 DAV Machine Vision: Theory Algorithms Practicalities | 006.31 DEI Mathematics for Machine Learning | 006.31 DEI Mathematics for Machine Learning | 006.31 DEI Mathematics for Machine Learning | 006.31 DEI Mathematics for Machine Learning | 006.31 DUT Machine Learning | 006.31 DUT Machine Learning |
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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