Về khóa học này
1. Statistic
2. Data preparation
3. Classification and clustering
4. Spatial interpolation
5. Single objective optimization
6. Multi objective optimization
7. SVM and Deccision trees
8. Artificial neural networks
9. Deep learning
10. Ensemble learning
11. GWML
Chương trình học
28 bài học
1. Statistic
Introduction to statistics: Outline in General introduction of statistics26:42
Introduction to statistics: Random variables38:59
Introduction to statistics: Mean and variance20:00
Introduction to statistics: 2D random variables37:46
Introduction to statistics: 2D random variables25:15
Introduction to statistics: Random vectors in Rn25:41
Introduction to statistics: Random vectors and asimptotic behaviour of a sequences of random variables21:58
Introduction to statistics: The least squares interpolation36:54
2. Data preparation
3. Classification and clustering
4. Spatial interpolation
5. Single objective optimization
6. Multi objective optimization
7. SVM and Deccision trees
8. Artificial neural networks
9. Deep Learning
10. Ensemble learning
11. GWML
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