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File: MOM 12-3-21 ML AI.txt

Samsung - Risman Adnan Mattotorang (SW R&D Director @ SRIN)
Machine Learning dan Artificial Intelegent

1. AI Learn Pola dalam data
2. ML & AI have to pattern exist dan persis dalam data (contoh KTP)
3. ML & AI tidak punya analitical solutionnya dalam data (contoh KTP) (Kurva vitting)
4. ML & AI kita harus punya data yg cukup untuk memaintain dalam data
5. Supervice Learning (Data dan Label)
6. Un-Supervice learning (FaceAPP)
7. Re-Inforcement Learning (Punya data tapi labelnya datang belakangan)
8. semua model ML mempunyai hypothesis set
9. find G yg mendekati F 
10. framework skykit learn (support vector) distance
11. ML & AI Jumlah line of code sedikit
12. How to learn ML & AI (Leymen Tachnique)
13. Discriminative Deep learning (come from neural network model)
14. RelU verfication 
15. My Herritage (Cth AI)
16. Robot Sophia (Cth AI)



buku Pattern recognition LEarning from Bishop & Learning data 2012