MACHINE LEARNING
Machine Learning
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Topics Keras PyTorch Slides Problem Sets Solution
Installation colab installation
Python Basics of Python
Introduction pdf#00
Linear Algebra iColab#01 iColab#01 pdf#01 iPS#01 PS#01 Sol'n
Optimization iColab#02 iCoabl#02 pdf#02 iPS#02 PS#02 Sol'n
Regression iColab#03 iColab#03 pdf#03 iPS#03 PS#03 Sol'n
Classification iColab#04 iColab#04 pdf#04 iPS#04 PS#04 Sol'n
kNN, Decision Tree iColab#05 iColab#05 pdf#05 iPS#05 PS#05 Sol'n
Clustering: K-means iColab#06 iColab#06 pdf#06 iPS#06 PS#06 Sol'n
Dim. Reduction iColab#07 iColab#07 pdf#07 iPS#07 PS#07 Sol'n
Midterm Part I, Part II
Artificial Neural Networks (ANN) iColab#08 iColab#08 pdf#08 iPS#08 PS#08 Sol'n
Autoencoder iColab#09 iColab#09 pdf#09 iPS#09 PS#09 Sol'n
Convolutional Neural Networks (CNN) iColab#10 iColab#10 pdf#10 iPS#10 PS#10 Sol'n
Recurrent Neural Networks (RNN) iColab#11 iColab#11 pdf#11 iPS#11 PS#11 Sol'n
Physics-informed Neural Networks (PINN) iColab#12 iColab#12 pdf#12 iPS#12 PS#12 Sol'n
AI in ME: Fluid Mechanics iColab#13 iColab#13 pdf#13 iYouTube#13
AI in ME: Manufacturing iColab#14 iColab#14 pdf#14 iYouTube#14
AI in ME: Heat Transfer iColab#15 iColab#15 pdf#15 iYouTube#15
AI in ME: Solid Mechanics iColab#16 iColab#16 pdf#16 iYouTube#16
AI in ME: Dynamics iColab#17 iColab#17 pdf#17
Final Exam Part I, Part II
Advanced Machine Learning
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Topics Python
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