An Introduction to Statistical Learning
9
Anova
1
basic statistics
4
Bayesian
1
black box
2
Centered ICE
1
cheating sheet
3
chisquare test
1
clustering
1
DataScience from Scratch
2
DBSCAN
1
Deep Learning
5
EM algorithm
1
estimator
1
fast MCD
1
Gaussian mixture
2
goodness of fit test
1
HDBSCAN
1
ICE
1
implementation
2
independence test
1
Individual Conditional Expectation
1
interpretable machine learning
2
Local Outlier Factor
1
LOF
1
Machine Learning
9
machine learning
2
Mahalanobis distance
1
Math
1
Minimum covariance determinant
1
NLP
4
open api
2
outlier detection
3
paired t - test
1
Partial dependency plot
1
PDP
1
python implementation
3
python
1
random variable
1
Randomized block design
1
REST
2
sample space
1
SQL
1
statistical distribution
1
statistical test
1
t - test
1
two-way Anova
1
An Introduction to Statistical Learning
-
[ISL] 8장 -Tree-Based Methods(Bagging, RF, Boosting)이해하기 23 Feb 2018
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[ISL] 7장 -비선형모델(Local regression, Smoothing splines, GAM) 이해하기 14 Feb 2018
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[ISL] 6장 -Lasso, Ridge, PCR이해하기 07 Feb 2018
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발제용ch5 Resampling method 26 Jan 2018
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[ISL] 5장 - Resampling Methods(CV, Bootstrap)이해하기 26 Jan 2018
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[ISL] 4장 - 분류(로지스틱, LDA, QDA) 이해하기 23 Jan 2018
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[ISL] 3장 - 선형회귀 이해하기 20 Jan 2018
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[ISL] 2장 - An Overview of Statistical Learning 12 Jan 2018
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[ISL] 1장 - ISL스터디 플랜 30 Dec 2017
basic statistics
black box
cheating sheet
chisquare test
DataScience from Scratch
Deep Learning
-
[NLP] Memory Networks 논문 리뷰 11 Mar 2018
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[NLP] Show and Tell: A Neural Image Caption Generator 논문 리뷰 01 Feb 2018
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[NLP] Character-Word LSTM Language Models 논문 리뷰 24 Jan 2018
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[NLP] Character-level Convolutional Networks for Text Classification 논문 리뷰 15 Jan 2018
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[stats385] Back Propagation 이해 15 Jan 2018
EM algorithm
Gaussian mixture
goodness of fit test
implementation
independence test
Individual Conditional Expectation
interpretable machine learning
Local Outlier Factor
Machine Learning
-
[ISL] 8장 -Tree-Based Methods(Bagging, RF, Boosting)이해하기 23 Feb 2018
-
[ISL] 7장 -비선형모델(Local regression, Smoothing splines, GAM) 이해하기 14 Feb 2018
-
[ISL] 6장 -Lasso, Ridge, PCR이해하기 07 Feb 2018
-
발제용ch5 Resampling method 26 Jan 2018
-
[ISL] 5장 - Resampling Methods(CV, Bootstrap)이해하기 26 Jan 2018
-
[ISL] 4장 - 분류(로지스틱, LDA, QDA) 이해하기 23 Jan 2018
-
[ISL] 3장 - 선형회귀 이해하기 20 Jan 2018
-
[ISL] 2장 - An Overview of Statistical Learning 12 Jan 2018
-
[ISL] 1장 - ISL스터디 플랜 30 Dec 2017