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Machine Learning and Deep Learning

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Machine Learning

Dates Topics with Matlab with Python Lecture Slides pdf video HW
02/21/2018 Introduction iNote#01m pdf#01 Installation
Basic Python
CVXPY Installation
02/28/2018 Linear Algebra 1 iNote#02m iNote#02py iSlide#02py
pdf#02
iYouTube#02
02/28/2018 Linear Algebra 2 iNote#03m iNote#03py iSlide#03py pdf#03 iYouTube#03
03/07/2018 Linear Algebra 3 iNote#04m
iNote#04py
iSlide#04py
pdf#04
iYouTube#04
HW#01
Solution
03/12/2018 Optimization 1 iNote#05m iNote#05py iSlide#05py pdf#05 iYouTube#05
Optimization 2 iNote#06m
Graph iNote#07m
 03/14/2018 Regression 1 iNote#08m iNote#08py iSlide#08py pdf#06 iYouTube#06
 03/19/2018 Regression 2 iNote#09m
iNote#08py iSlide#08py pdf#07 iYouTube#07
 03/21/2018 Regression 3 iNote#09py iSlide#09py pdf#08 iYouTube#08 HW#02
Solution
Code
HW#03
Solution
Code
 03/26/2018 Classification: Perceptron iNote#11m iNote#11py iSlide#11py pdf#09 iYouTube#09
 03/28/2018 SVM iNote#12m iNote#12py iSlide#12py pdf#10 iYouTube#10
 04/02/2018 Logistic Regression iNote#13m iNote#13py iSlide#13py pdf#11 iYouTube#11
 04/04/2018 Clustering: K-means iNote#14m iNote#14py iSlide#14py pdf#12 iYouTube#12 HW#04
Solution
Code
 04/11/2018 Midterm Midterm
Solution
Code
 04/09/2018 Statistics iNote#15m iNote#15py iSlide#15py pdf#13 iYouTube#13
 04/16/2018 Monte Carlo Simulation iNote#16m iNote#16py iSlide#16py pdf#14 iYouTube#14
 04/18/2018 Dim. Reduction: PCA iNote#17m iNote#17py iSlide#17py pdf#15 iYouTube#15
 04/18/2018 Fisher Discriminant Analysis iNote#18m iNote#18py iSlide#18py pdf#16 iYouTube#16 HW#05
Solution
Code
SVD iNote#19m iNote#19py
ICA iNote#20m iNote#20py
Network iNote#21m iNote#21py
 04/23/2018
04/25/2018
04/30/2018
Artificial Neural Networks iNote#26py pdf#21 iYouTube#21-1
iYouTube#21-2
HW#06
Code
 05/02/2018 Autoencoder iNote#27py pdf#22 iYouTube#22
 05/09/2018 Convolutional Neural Networks iNote#28py pdf#23 iYouTube#23 HW#07
Code
Recurrent Neural Networks iNote#29py pdf#24
 05/14/2018 Probability iNote#22m iNote#22py iSlide#22py pdf#17 HW#08
Solution
Code
 05/21/2018 Gaussian Distribution iNote#23m iNote#23py iSlide#23py pdf#18
 05/23/2018 Parameter Estimation iNote#24m iNote#24py iSlide#24py pdf#19 HW#09
Solution
 05/30/2018 Probabilistic Machine Learning iNote#25m iNote#25py iSlide#25py pdf#20
 06/04/2018 Final Exam Final exam
Solution
Code
Bayesian Machine Learning iNote#26m
iNote#27m
Gaussian Process iNote#28m
Kalman Filter iNote#29m
Scikit-learn iNote#30py
Final
Deep Learning

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

Short Course for Industry

Dates Topics Lecture Slides with python
02/06/2017 Introduction iNote#00py
02/06/2017 Supervised Learning iNote#01py
02/06/2017 Unsupervised Learning iNote#02py
02/06/2017 Neural Network iNote#03py
02/06/2017 Convolutional Neural Network iNote#04py
02/06/2017 Recurrent Neural Network iNote#05py
02/06/2017 Hands-on Practice iNote#06py
KSNVE

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

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

Dates Topics Lecture Slides pdf Download
Installation Manual (Python and TensorFlow) iNote#00py installation files
Lecture Notes and Codes (*.ipynp) zipped ipynp files
Basic Python iNote#01py pdf#01
Machine Learning iNote#02py pdf#02
Supervised Learning iNote#03py pdf#03
Unsupervised Learning iNote#04py pdf#04
Neural Network in numpy iNote#05py pdf#05
Neural Network in TensorFlow iNote#06py pdf#06
Autoencoder iNote#07py pdf#07
Convolution Neural Network iNote#08py pdf#08
Recurrent Neural Network iNote#09py pdf#09
대한기계학회 인공지능머신연구회 2017년도 여름학교 (딥러닝 강의)

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

Dates Topics Lecture Slides pdf Download
Installation Manual (Python and TensorFlow) iNote#00py installation files
ipynp files
Basic Python iNote#01py pdf#01
08/25/2017 Overview pdf#overview
08/25/2017 Machine Learning iNote#02py pdf#02
08/25/2017 Supervised Learning iNote#03py pdf#03
08/25/2017 Unsupervised Learning iNote#04py pdf#04
08/25/2017 Neural Network in numpy iNote#05py pdf#05
08/25/2017 Neural Network in TensorFlow iNote#06py pdf#06
08/25/2017 Autoencoder iNote#07py pdf#07
08/25/2017 Convolution Neural Network iNote#08py pdf#08
08/25/2017 Recurrent Neural Network iNote#09py pdf#09
The Korean Society of Noise and Vibration Engineering (2017 년 추계 한국소음진동공학회) 

Dates Topics Lecture Slides with python pdf Download
Installation Manual (Python and TensorFlow) iNote#00py installation files
Lecture Notes and Codes (*.ipynp) zipped ipynp files
Basic Python iNote#01py pdf#01
10/18/2017 Neural Network iNote#02py pdf#02
10/18/2017 Autoencoder iNote#03py pdf#03
10/18/2017 Convolutional Neural Network iNote#04py pdf#04
10/18/2017 Recurrent Neural Network iNote#05py pdf#05
[한화테크윈] AI 교육 

Dates Topics with python Lecture Slides pdf Download
Installation Manual (Python and TensorFlow) iNote#00py installation files
Lecture Notes and Codes (*.ipynb) zipped pdf files zipped ipynb files
Basic Python iNote#00py pdf#00
02/01/2018 Machine Learning iNote#01py iSlide#01py pdf#01
02/01/2018 Supervised Learning without sklearn iNote#02py iSlide#02py pdf#02
02/01/2018 Supervised Learning iNote#03py iSlide#03py pdf#03
02/01/2018 Unsupervised Learning iNote#04py iSlide#04py pdf#04
02/01/2018 Neural Network iNote#05py iSlide#05py pdf#05
02/02/2018 Autoencoder iNote#06py iSlide#06py pdf#06
02/02/2018 Convolutional Neural Network iNote#07py iSlide#07py pdf#07
02/02/2018 Recurrent Neural Network iNote#08py iSlide#08py pdf#08
02/02/2018 Advanced Deep Learning iNote#09py pdf#09
02/02/2018 Epilogue iNote#10py pdf#10
대한기계학회 인공지능머신연구회 2018년도 겨울학교 

Dates Topics with python pdf Download
Installation Manual (Python and TensorFlow) iNote#00py installation files
Lecture Notes and Codes (*.ipynb) zipped ipynb files
01/17/2018 Basic Python iNote#01py pdf#01
01/17/2018 Optimization iNote#02py pdf#02
01/17/2018 Regression and Classification iNote#03py pdf#03
01/17/2018 Perceptron iNote#04py pdf#04
01/17/2018 Neural Networks iNote#05py pdf#05
01/17/2018 Autoencoder iNote#06py pdf#06
01/17/2018 CNN iNote#07py pdf#07
01/18/2018 RNN iNote#08py pdf#08
01/18/2018 Advanced Deep Learning iNote#09py pdf#09
01/18/2018 Epilogue iNote#10py pdf#10
부산대 인공지능 세미나

Dates Topics with python pdf Download
Installation Manual (Python and TensorFlow) iNote#00py installation files
Lecture Notes and Codes (*.ipynb) zipped ipynb files
PPT Slides (*.pdf) zipped ppt files
01/29/2018 Basic Python iNote#01py pdf#01
01/29/2018 Optimization iNote#02py pdf#02
01/29/2018 Regression and Classification iNote#03py pdf#03
01/29/2018 ANN iNote#04py pdf#04
01/29/2018 Autoencoder iNote#05py pdf#05
01/29/2018 CNN iNote#06py pdf#06
01/29/2018 RNN iNote#07py pdf#07
01/29/2018 Epilogue iNote#08py pdf#08
한국전산구조공학회 신기술강습회

Dates Topics with python pdf Download
Installation Manual (Python and TensorFlow) iNote#00py installation files
Lecture Notes and Codes (*.ipynb) zipped ipynb files
PPT Slides (*.pdf) zipped ppt files
02/08/2018 Basic Python iNote#01py pdf#01
02/08/2018 Optimization iNote#02py pdf#02
02/08/2018 Regression and Classification iNote#03py pdf#03
02/08/2018 ANN iNote#04py pdf#04
02/08/2018 Autoencoder iNote#05py pdf#05
02/08/2018 CNN iNote#06py pdf#06
02/08/2018 RNN iNote#07py pdf#07
02/08/2018 Epilogue iNote#08py pdf#08