Category: Machine-Learning-Study
2016
Machine learning 스터디 (10) PAC Learning & Statistical Learning Theory
내 멋대로 정리해보는 Machine Learning. PAC Learning & Statistical Learning Theory
Machine-Learning, Machine-Learning-Study
Machine learning 스터디 (20-1) Multi-armed Bandit
내 멋대로 정리해보는 Machine Learning. Multi-armed Bandit
Machine-Learning, Machine-Learning-Study
Machine learning 스터디 (17-1) Recommendation System with Implicit Feedback
내 멋대로 정리해보는 Machine Learning. Recommendation System with Implicit Feedback
Machine-Learning, Machine-Learning-Study
Machine learning 스터디 (17) Recommendation System (Matrix Completion)
내 멋대로 정리해보는 Machine Learning. Recommendation System
Machine-Learning, Machine-Learning-Study
2015
Machine learning 스터디 (20) Reinforcement Learning
내 멋대로 정리해보는 Machine Learning. Reinforcement Learning
Machine-Learning, Machine-Learning-Study, Reinforcement-Learning
Machine learning 스터디 (19) Deep Learning - RBM, DBN, CNN
내 멋대로 정리해보는 Machine Learning. Deep Learning
Deep-Learning, Machine-Learning, Machine-Learning-Study, Neural-Network
Machine learning 스터디 (18) Neural Network Introduction
내 멋대로 정리해보는 Machine Learning. Neural Network Introduction
Deep-Learning, Machine-Learning, Machine-Learning-Study, Neural-Network
Machine learning 스터디 (16) Dimensionality Reduction (PCA, LDA)
내 멋대로 정리해보는 Machine Learning. Dimensionality Reduction
Machine-Learning, Machine-Learning-Study
Machine learning 스터디 (14) EM algorithm
내 멋대로 정리해보는 Machine Learning. EM algorithm
Machine-Learning, Machine-Learning-Study
Machine learning 스터디 (13) Clustering (K-means, Gaussian Mixture Model)
내 멋대로 정리해보는 Machine Learning. Clustering
Machine-Learning, Machine-Learning-Study
Machine learning 스터디 (8) Classification Introduction (Decision Tree, Naïve Bayes, KNN)
내 멋대로 정리해보는 Machine Learning. Classification
Machine-Learning, Machine-Learning-Study
2014
Machine learning 스터디 (7) Convex Optimization
내 멋대로 정리해보는 Machine Learning. Convex Optimization
Machine-Learning, Machine-Learning-Study
Machine learning 스터디 (6) Information Theory
내 멋대로 정리해보는 Machine Learning. Information Theory
Machine-Learning, Machine-Learning-Study
Machine learning 스터디 (5) Decision Theory
내 멋대로 정리해보는 Machine Learning. Decision Theory
Machine-Learning, Machine-Learning-Study
Machine learning 스터디 (4) Algorithm
내 멋대로 정리해보는 Machine Learning. Algorithm
Machine-Learning, Machine-Learning-Study
Machine learning 스터디 (3) Overfitting
내 멋대로 정리해보는 Machine Learning. Overfitting, Regularization, Model Selection, Curse of dimension 등
Machine-Learning, Machine-Learning-Study
Machine learning 스터디 (2) Probability Theory
내 멋대로 정리해보는 Machine Learning. 기본적인 Background Knowledge 중 하나인 Probability Theory
Machine-Learning, Machine-Learning-Study
Machine learning 스터디 (1) Machine Learning이란?
내 멋대로 정리해보는 Machine Learning. 간단한 Introduction
Machine-Learning, Machine-Learning-Study
2016
Machine learning 스터디 (10) PAC Learning & Statistical Learning Theory
내 멋대로 정리해보는 Machine Learning. PAC Learning & Statistical Learning Theory
Machine learning 스터디 (20-1) Multi-armed Bandit
내 멋대로 정리해보는 Machine Learning. Multi-armed Bandit
Machine learning 스터디 (17-1) Recommendation System with Implicit Feedback
내 멋대로 정리해보는 Machine Learning. Recommendation System with Implicit Feedback
Machine learning 스터디 (17) Recommendation System (Matrix Completion)
내 멋대로 정리해보는 Machine Learning. Recommendation System
2015
Machine learning 스터디 (20) Reinforcement Learning
내 멋대로 정리해보는 Machine Learning. Reinforcement Learning
Machine learning 스터디 (19) Deep Learning - RBM, DBN, CNN
내 멋대로 정리해보는 Machine Learning. Deep Learning
Machine learning 스터디 (18) Neural Network Introduction
내 멋대로 정리해보는 Machine Learning. Neural Network Introduction
Machine learning 스터디 (16) Dimensionality Reduction (PCA, LDA)
내 멋대로 정리해보는 Machine Learning. Dimensionality Reduction
Machine learning 스터디 (14) EM algorithm
내 멋대로 정리해보는 Machine Learning. EM algorithm
Machine learning 스터디 (13) Clustering (K-means, Gaussian Mixture Model)
내 멋대로 정리해보는 Machine Learning. Clustering
Machine learning 스터디 (8) Classification Introduction (Decision Tree, Naïve Bayes, KNN)
내 멋대로 정리해보는 Machine Learning. Classification
2014
Machine learning 스터디 (7) Convex Optimization
내 멋대로 정리해보는 Machine Learning. Convex Optimization
Machine learning 스터디 (6) Information Theory
내 멋대로 정리해보는 Machine Learning. Information Theory
Machine learning 스터디 (5) Decision Theory
내 멋대로 정리해보는 Machine Learning. Decision Theory
Machine learning 스터디 (4) Algorithm
내 멋대로 정리해보는 Machine Learning. Algorithm
Machine learning 스터디 (3) Overfitting
내 멋대로 정리해보는 Machine Learning. Overfitting, Regularization, Model Selection, Curse of dimension 등
Machine learning 스터디 (2) Probability Theory
내 멋대로 정리해보는 Machine Learning. 기본적인 Background Knowledge 중 하나인 Probability Theory
Machine learning 스터디 (1) Machine Learning이란?
내 멋대로 정리해보는 Machine Learning. 간단한 Introduction