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Mathematics for Machine Learning- CST 284 - KTU Minor Notes - Dr Binu V P

 Introduction



Linear Algebra in Machine Learning

Module I- Linear Algebra

1.Geometry of Linear Equations(video-Gilbert Strang)
2.Elimination with Matrices(video-Gilbert Strang)
6. Practice problems Gauss Elimination ( contact)


More Example Problems ( contact)

Module-II -Analytic  Geometry and Matrix Decomposition

*Practice Problems ( contact)

Module III -Vector Calculus

4.Practice Problems ( contact)
14.Practice Problems ( contact)

Module IV- Probability and Distributions


Module V- Optimization


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