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Machine Learning and Deep 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 Slide#08
03/24/2016 Regression 2
Regression 3
Slide#09
Slide#10
Slide#09
Slide#10
03/29/2016 Classification: Perceptron Slide#11 Slide#11
03/29/2016 SVM Slide#12 Slide#12
04/05/2016 Logistic Regression Slide#13 Slide#13
04/07/2016 Clustering: K-means Slide#14 Slide#14
04/12/2016 Statistics Slide#15 Slide#15
04/14/2016 Monte Carlo simulation Slide#16 Slide#16
04/19/2016 PCA Slide#17 Slide#17
04/22/2016 exam
04/26/2016 Fisher Slide#18 Slide#18
05/03/2016 SVD Slide#19 Slide#19
05/10/2016 ICA Slide#20 Slide#20
05/12/2016 Network Slide#21 Slide#21
05/17/2016 Probability Slide#22 Slide#22
05/26/2016 Gaussian Distribution Slide#23 Slide#23
05/31/2016 Parameter Estimation Slide#24 Slide#24
06/02/2016 Probabilistic Machine Learning Slide#25 Slide#25
06/07/2016 Bayesian Machine Learning Slide#26
Slide#27
Slide#26
Slide#27
Gaussian Process Slide#28 Slide#28
Kalman Filter Slide#29 Slide#29
06/14/2016 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
02/06/2017 Introduction Slide#00
02/06/2017 Supervised Learning Slide#01
02/06/2017 Unsupervised Learning Slide#02
02/06/2017 Neural Network Slide#03
02/06/2017 Convolutional Neural Network Slide#04
02/06/2017 Recurrent Neural Network Slide#05
02/06/2017 Hands-on Practice Slide#06
KSNVE

Dates Topics Lecture Slides with python
04/26/2017 Introduction Slide#00
04/26/2017 Supervised Learning Slide#01
04/26/2017 Unsupervised Learning Slide#02
04/26/2017 Neural Network Slide#03
04/26/2017 Convolutional Neural Network Slide#04
04/26/2017 Recurrent Neural Network Slide#05
04/26/2017 Hands-on Practice Slide#06
PHM Asia Pacific 2017

Dates Topics Lecture Slides with python
07/14/2017 Neural Network Slide#01
07/14/2017 Convolutional Neural Network Slide#02
07/14/2017 Autoencoder Slide#03
07/14/2017 Recurrent Neural Network Slide#04
KIMM

Dates Topics Lecture Slides with python
06/19/2017 Introduction Installation
Slide#00
07/24/2017 Supervised Learning Slide#01
Unsupervised Learning
Neural Networks
Convolutional Neural Networks
Autoencoder
대한기계학회 인공지능머신연구회 2017년도 여름학교 (딥러닝 강의)

Dates Topics Lecture Slides pdf Download
Installation Manual (Python and TensorFlow) Slide#00 pdf#00 installation files
ipynp files
Basic Python Slide#01 pdf#01
08/21/2017 Neural Network in numpy Slide#02 pdf#02
08/22/2017 Neural Network in TensorFlow Slide#03 pdf#03
08/22/2017 Autoencoder Slide#04 pdf#04
08/22/2017 Convolution Neural Network Slide#05 pdf#05
08/22/2017 Recurrent Neural Network Slide#06 pdf#06
2017년도 CAE 및 응용역학 하계 강습회

Dates Topics Lecture Slides pdf Download
Installation Manual (Python and TensorFlow) Slide#00 installation files
ipynp files
Basic Python Slide#01 pdf#01
08/25/2017 Machine Learning Slide#02 pdf#02
08/25/2017 Supervised Learning Slide#03 pdf#03
08/25/2017 Unsupervised Learning Slide#04 pdf#04
08/25/2017 Neural Network in numpy Slide#05 pdf#05
08/25/2017 Neural Network in TensorFlow Slide#06 pdf#06
08/25/2017 Autoencoder Slide#07 pdf#07
08/25/2017 Convolution Neural Network Slide#08 pdf#08
08/25/2017 Recurrent Neural Network Slide#09 pdf#09