MACHINE LEARNING
Dates Topics with Python Colab Slides Problem Sets Colab Solution
Installation colab installation
Python Basics of Python
Linear Algebra iNote#01 iColab#01 pdf#01 PS#01 iPS#01 HW#01 Solution
Optimization iNote#02 iColab#02 pdf#02 PS#02 iPS#02 HW#02 Solution
Regression: Basics iNote#03 iColab#03 pdf#03 PS#03 iPS#03 HW#03 Solution
Regression: Overfitting and Regularization iNote#04 iColab#04
Regression: Examples iNote#05 iColab#05 HW#04 Solution
Classification: Perceptron iNote#06 iColab#06 pdf#04 PS#04 iPS#04 HW#05 Solution
Classification: SVM iNote#07 iColab#07 pdf#05
Classification: Logistic Regression iNote#08 iColab#08 pdf#06
Midterm Part I, Part II
Decision Tree iNote#10 iColab#10 pdf#08 PS#05 iPS#05
Clustering: K-means iNote#11 iColab#11 pdf#09 PS#06 iPS#06 HW#06 Solution
Statistics iNote#12 iColab#12 pdf#10
Dim. Reduction: PCA iNote#13 iColab#13 pdf#11 PS#07 iPS#07 HW#07 Solution
Dim. Reduction: FDA iNote#14 iColab#14 pdf#12
Dim. Reduction: SVD iNote#15 iColab#15 pdf#13 HW#08 Solution
Artificial Neural Networks (ANN) iNote#16_1 iColab#16_1 PS#08 iPS#08 HW#09 Solution
Artificial Neural Networks (ANN) iNote#16_2 iColab#16_2
Artificial Neural Networks (ANN) iNote#16_3 iColab#16_3 pdf#15
Dim. Reduction: Autoencoder iNote#17 iColab#17 pdf#16 PS#09 iPS#09 HW#10 Solution
Final Exam Part I, Part II
Probabilistic Machine Learning
Advanced Machine Learning
Dates Topics with Python Slides Homework Solution
Independent Component Analysis (ICA) iNote#22
Singular Value Decomposition (SVD) iNote#23
Graph Theory iNote#24
Google PageRank iNote#25
Clustering: Spectral Partitioning iNote#26
Kalman Filter iNote#27
Gaussian Process iNote#28
Learning from Imbalanced Data iNote#29
Using Scikit-Learn iNote#30
Discrete Optimization iNote#31