Jungkyu Lee

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24 SlideShares 110 Followers 36 Followings

bayesian statistics lasso regression machine learning graph theory smo svm

Activity
About

Support Vector Machine Tutorial 한국어

10 years ago • 6540 Views

Eigenvalues of regular graphs

10 years ago • 1036 Views

TETRIS AI WITH REINFORCEMENT LEARNING

10 years ago • 2964 Views

ThinkBayes: Chapter 9 two_dimensions

10 years ago • 808 Views

ThinkBayes: chapter 13 simulation

10 years ago • 882 Views

파이널 판타지 3 루트 공략

10 years ago • 2803 Views

머피's 머신러닝, Mixture model and EM algorithm

10 years ago • 7552 Views

머피's 머신러닝: Latent Linear Model

10 years ago • 1451 Views

머피's 머신러닝: Latent Linear Model

10 years ago • 2737 Views

머피의 머신러닝: Undirencted Graphical Model

10 years ago • 3624 Views

머피의 머신러닝 13 Sparse Linear Model

10 years ago • 3906 Views

Murpy's Machine Learning:14. Kernel

10 years ago • 1684 Views

Murpy's Machine Learning 9. Generalize Linear Model

10 years ago • 1451 Views

Murpy's Machine Learing: 10. Directed Graphical Model

10 years ago • 1622 Views

머피의 머신러닝 : Gaussian Processes

10 years ago • 16421 Views

머피의 머신러닝: 17장 Markov Chain and HMM

10 years ago • 2432 Views

From A Neural Probalistic Language Model to Word2vec

9 years ago • 4807 Views

앙상블 학습 기반의 추천시스템 개발

10 years ago • 5497 Views

Jensen's inequality, EM 알고리즘

10 years ago • 1440 Views

1. boolean 검색

10 years ago • 2227 Views

3 Generative models for discrete data

7 years ago • 821 Views

4. Gaussian Model

7 years ago • 687 Views

7. Linear Regression

7 years ago • 986 Views

8. Logistic Regression

7 years ago • 2077 Views

Apache Zeppelin 소개

KSLUG • 9 years ago

20150122 valve god

Kyuho Kim • 9 years ago

Learning how to learn

Hyungseok Shim • 9 years ago

(Deep) Neural Networks在 NLP 和 Text Mining 总结

君廖 • 9 years ago

파이널 판타지 3 루트 공략

Jungkyu Lee • 10 years ago

bayesian statistics lasso regression machine learning graph theory smo svm

Jungkyu Lee

Presentations

Support Vector Machine Tutorial 한국어

Eigenvalues of regular graphs

TETRIS AI WITH REINFORCEMENT LEARNING

ThinkBayes: Chapter 9 two_dimensions

ThinkBayes: chapter 13 simulation

파이널 판타지 3 루트 공략

머피's 머신러닝, Mixture model and EM algorithm

머피's 머신러닝: Latent Linear Model

머피's 머신러닝: Latent Linear Model

머피의 머신러닝: Undirencted Graphical Model

머피의 머신러닝 13 Sparse Linear Model

Murpy's Machine Learning:14. Kernel

Murpy's Machine Learning 9. Generalize Linear Model

Murpy's Machine Learing: 10. Directed Graphical Model

머피의 머신러닝 : Gaussian Processes

머피의 머신러닝: 17장 Markov Chain and HMM

From A Neural Probalistic Language Model to Word2vec

Documents

앙상블 학습 기반의 추천시스템 개발

Jensen's inequality, EM 알고리즘

1. boolean 검색

3 Generative models for discrete data

4. Gaussian Model

7. Linear Regression

8. Logistic Regression

Likes

Apache Zeppelin 소개

20150122 valve god

Learning how to learn

(Deep) Neural Networks在 NLP 和 Text Mining 总结

파이널 판타지 3 루트 공략