MACHINE LEARNING (S1-IF)
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General
Preamble of Machine Learning Course
Slide 0 Introduction to Lectures
Announcement of the Lectures
Link SLIDE Lectures for 1-semester
Link Communination and/or Online Class
1. Introduction of Machine Learning
SLIDE 01
2. Selection and Evaluation Data
Slide 02
3. Supervised Learning
Slide 03
4. Deep Learning
Slide 04
5. (online Class) SVM and Task-1
Slide 05
Task-1
6. (Online Class) Implementation of Supervised Learning Algorithm
Case Based-1
7. Introduction to Unsupervised Learning
Slide 07
8. Hierarchical Clustering
Slide 08
9. (Online Class) Evaluation Clustering and Task-2
Task-2
10. (Online Class) Implementation of Unsupervised Learning Algorithm
Case Based-2
11 Introduction to Ensemble Learning.
Slide 11
12. Boosting and Stacking
Slide 12
13. (Online Class) Implementation of Ensemble Learning: Team-Based
Team Based
14. (Online Class) Implementation of Ensemble Learning: Project-Based
Project Based
15. Introduction to Reinforcement Learning
Slide 15
16. (Online Class) Celonis and Machine Learning
Slide 16
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Summary
MACHINE LEARNING (S1-IF)
Teacher:
MAHMUD DWI SULISTIYO
Teacher:
SITI SA'ADAH