Data Science/Theory
- Fast Convolution 2020.02.13 (2)
- Loss functions 2018.08.09
- Feature (Attribute) Selection 2015.09.15
- Ensemble Method 2015.09.15
- Active Learning 2015.08.19
- 기계학습을 구현하기 위해서 어떤 언어가 좋은가? 2015.07.11
- 순차데이터 분석을 위한 Hidden Markov Model (HMM) 2015.06.08
- Anomaly Detection 2015.06.07
- Unsupervised Learning: Cluster Analysis 2015.06.03 (3)
- Deep Learning 2015.06.03
- Association Analysis Basic Concepts and Algorithms 2015.04.27
- Bayesian Classifiers 2015.04.23
- K Nearest Neighbors - Classification 2015.04.23
- Performance Evaluation 2015.04.19
- Classification: Decision Tree 2015.04.19 (2)
- Data Type and Data preprocessing 2015.04.18
- Support Vector Machine 2015.04.17
- Perceptron and Multiclass perceptron 2015.04.06
