AI
- (머신러닝) 23 - Map Reduce 2020.05.15
- (머신러닝) 22 - Online Learning 2020.05.15
- (머신러닝) 21 - Stochastic Gradient Descent 2020.05.15
- (머신러닝) 20 - Recommender Systems 2020.05.15
- (머신러닝) 19 - Anomaly Detection 2020.05.15
- (머신러닝) 18 - Dimensionality Reduction - PCA 2020.05.15
- (머신러닝) 17 - Unsupervised Learning - K-Means Algorithm 2020.05.15
- (머신러닝) 16 - SVM(Support Vector Machine) 2020.05.15
- (머신러닝) 15-3. Machine Learning System Design - Using Larger Datasets 2020.05.15
- (머신러닝) 15-2. Machine Learning System Design - Handling Skewed Data 2020.05.15
- (머신러닝) 15-1. Machine Learning System Design - Spam Filter 2020.05.15
- (머신러닝) 14-2. Bias vs Variance 2020.05.15
- (머신러닝) 14-1. Cross Validation 2020.05.15
- (머신러닝) (ex)신경망을 활용한 숫자인식 모델 만들기 2020.05.15
- (머신러닝) 13 - 신경망 학습 2020.05.15