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HSE545 Machine Learning

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 Machine Learning

Dates Topics Lecture Slides with Matlab Python Code HW
03/03/2016 Introduction Slide#01
03/08/2016 Linear Algebra 1
Linear Algebra 2
Slide#02
Slide#03
03/10/2016 Linear Algebra 3
Optimization 1
Slide#04
Slide#05
03/15/2016 Optimization 2 Slide#06
03/17/2016 Graph Regression 1 Slide#07
Slide#08
03/22/2016 Regression 1 Slide#08
03/24/2016 Regression 2
Regression 3
Slide#09
Slide#10
03/29/2016 Classification: Perceptron Slide#11
03/29/2016 SVM Slide#12
04/05/2016 Logistic Regression Slide#13 HW#01 (Solution#01)
04/07/2016 Clustering: K-means Slide#14
04/12/2016 Statistics Slide#15 HW#02 (Solution#02)
04/14/2016 Monte Carlo simulation Slide#16
04/19/2016 PCA Slide#17
04/22/2016 exam Exam (Solution)
04/26/2016 Fisher Slide#18
05/03/2016 SVD Slide#19 HW#03 (Solution#03)
05/10/2016 ICA Slide#20
05/12/2016 Network Slide#21
05/17/2016 Probability Slide#22
05/26/2016 Gaussian Distribution Slide#23
05/31/2016 Parameter Estimation Slide#24 HW#04 (Solution#04)
06/02/2016 Probabilistic Machine Learning Slide#25
06/07/2016 Bayesian Machine Learning Slide#26
Slide#27
Gaussian Process Slide#28
Kalman Filter Slide#29
06/14/2016 exam Exam
Deep Learning

Dates Topics Lecture Slides with python
Deep learning overview Slide#01
Neural Networks Slide#02
CNN Slide#03
Time Series Slide#04
Hidden Markov Model Slide#05
RNN Slide#06
MDP and Reinforcement Learning Slide#07
Short Course for Industry

Dates Topics Lecture Slides with python KSNVE
Introduction Slide#00 Slide#00
Supervised Learning Slide#01 Slide#01
Unsupervised Learning Slide#02 Slide#02
Neural Network Slide#03 Slide#03
Convolutional Neural Network Slide#04 Slide#04
Recurrent Neural Network Slide#05 Slide#05
Hands-on Practice Slide#06 Slide#06