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Machine Learning and Deep Learning

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Machine Learning

Dates Topics with Matlab with Python Lecture Slides pdf HW
08/31/2017 Introduction iNote#01m Installation
Basic Python
CVXPY Installation
 09/05/2017 Linear Algebra 1
Linear Algebra 2
iNote#02m
iNote#03m
iNote#02py
iNote#03py
iSlide#02py
iSlide#03py
pdf#02
pdf#03
 09/07/2017 Linear Algebra 3
Optimization 1
iNote#04m
iNote#05m
iNote#04py
iNote#05py
iSlide#04py
iSlide#05py
pdf#04
pdf#05
Optimization 2 iNote#06m
Graph Regression 1 iNote#07m
 09/12/2017 Regression 1 iNote#08m iNote#08py iSlide#08py pdf#08 HW1
Solution1
 09/19/2017 Regression 2
Regression 3
iNote#09m
iNote#10m
iNote#09py iSlide#09py pdf#09
 09/26/2017 Classification: Perceptron iNote#11m iNote#11py iSlide#11py pdf#11py HW2
Solution2
 10/10/2017 SVM iNote#12m iNote#12py iSlide#12py pdf#12py
 10/12/2017 Logistic Regression iNote#13m iNote#13py iSlide#13py pdf#13py HW3
Solution3
 10/17/2017 Clustering: K-means iNote#14m iNote#14py iSlide#14py pdf#14py
Statistics iNote#15m iNote#15py iSlide#15py pdf#15py
Monte Carlo simulation iNote#16m iNote#16py iSlide#16py pdf#16py
Dim. Reduction: PCA iNote#17m iNote#17py iSlide#17py pdf#17py
Fisher Discriminant Analysis iNote#18m iNote#18py iSlide#18py pdf#18py
SVD iNote#19m iNote#19py
ICA iNote#20m iNote#20py
Network iNote#21m iNote#21py
Probability iNote#22m iNote#22py iSlide#22py pdf#22py
Gaussian Distribution iNote#23m iNote#23py iSlide#23py pdf#23py
Parameter Estimation iNote#24m iNote#24py
Probabilistic Machine Learning iNote#25m iNote#25py
Bayesian Machine Learning iNote#26m
iNote#27m
iNote#26py
iNote#27py
Gaussian Process iNote#28m iNote#28py
Kalman Filter iNote#29m iNote#29py
exam
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