MACHINE LEARNING

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Machine Learning, 2020   [YouTube]

Dates Topics with Python Slides Homework Solution
Installation python installation
docker installation (optional)
Python Basics of Python
03/17/20 Introduction iNote#00 pdf#00
03/19/20
03/24/20
03/26/20
Linear Algebra iNote#01 pdf#01 HW#01 HW#01 Solution
03/31/20
04/02/20
Optimization iNote#02 pdf#02 HW#02 HW#02 Solution
04/07/20
04/09/20
04/14/20
Regression: Basics
Regression: Overfitting and Regularization
Regression: Examples
iNote#03_1
iNote#03_2
iNote#03_3
pdf#03 HW#03 HW#03 Solution
04/16/20
04/21/20
04/23/20
04/28/20
Classification: Perceptron
Classification: SVM
Classification: Logistic Regression
iNote#04
iNote#05
iNote#06
pdf#04
pdf#05
pdf#06
HW#04
HW#05
HW#06
HW#04 Solution
HW#05 Solution
HW#06 Solution
05/07/20 Midterm
05/12/20
05/14/20
K-NN
Decision Tree
iNote#07
iNote#08
pdf#07
pdf#08
HW#07 HW#07 Solution
05/19/20 Clustering: K-means iNote#09 pdf#09 HW#08 HW#08 Solution
05/21/20 Statistics iNote#10 pdf#10
05/26/20
05/28/20
Dim. Reduction: PCA
Dim. Reduction: FDA
iNote#11
iNote#12
pdf#11
pdf#12
HW#09 HW#09 Solution
06/01/20
06/05/20
Artificial Neural Networks iNote#13_1
iNote#13_2
iNote#13_3
pdf#13
06/08/20
06/12/20
Dim. Reduction: Autoencoder iNote#14 pdf#14 HW#10 HW#10 Solution
Final Exam

 

Probabilistic Machine Learning   [YouTube]

Dates Topics with Python Slides Homework Solution
Probability iNote#16 pdf#16
Gaussian Distribution iNote#17 pdf#17
Parameter Estimation iNote#18 pdf#18
Probabilistic Machine Learning iNote#19 pdf#19
Bayesian Machine Learning iNote#20 pdf#20

 

Advanced Machine Learning

Dates Topics with Python Slides Homework Solution
Independent Component Analysis (ICA) iNote#21
Singular Value Decomposition (SVD) iNote#22
Graph Theory iNote#23
Google PageRank iNote#24
Clustering: Spectral Partitioning iNote#25
Kalman Filter iNote#26
Gaussian Process iNote#27
Learning from Imbalanced Data iNote#28
Using Scikit-Learn iNote#29
Discrete Optimization iNote#30