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Machine Learning Foundations
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Machine Learning Foundations
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Week-1
Week-1
Outline
Linear Algebra for ML
ML problem
Datasets
Week-2
Week-2
None
Week-3
Week-3
Outline
Linear Regression
Xθ = 0
Xθ = y
Xθ ≈ y
Best Fit Hyperplane
Projections
Week-4
Week-4
Outline
Linear Transformations
Eigenvectors and Eigenvalues
Characteristic Polynomial
Computing Eigenvectors
Diagonalization
Tests for Diagonalizability
Fibonacci
Week-5
Week-5
Complex numbers
Complex vector
Appendix
Appendix
Gradients
Cauchy-Schwarz Inequality
Rank-1 matrices
Matrix product
Some properties
Density Estimation
Slides
Slides
Links
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Machine Learning Foundations
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Notes for the MLF course