ML Initiatives School - Introduction to Classical ML Techniques

Name: ML Initiatives School - Introduction to Classical ML Techniques
Start: 2020-10-12T12:00:00-07:00
End: 2020-10-16T14:00:00-07:00
Location: No location set

12 Oct 2020, 12:00 → 16 Oct 2020, 14:00 America/Los_Angeles

Aashwin Mishra (SLAC), Kazuhiro Terao (SLAC)

Monday 12 October
- 12:00 → 14:00
  Introduction to Classical ML Methods
  
  Convener: Aashwin Mishra (SLAC)
  - 12:00
    
    Day 1: Best Practices & CARTs 2h
    
    Session I: Introduction to Best Practices in ML & Overview of Scikit-Learn
    Session II: Classification And Regression Trees.
    
    Speaker: Aashwin Mishra (SLAC)
    
    ClassicalML_Session_1.mp4
    
    ClassificationAndRegressionTrees.mp4
Tuesday 13 October
- 12:00 → 14:00
  Introduction to Classical ML Methods
  
  Convener: Aashwin Mishra (SLAC)
  - 12:00
    
    Day 2: Ensemble Learning & Random Forests 2h
    
    Session III: Deep Dive into Bagging approaches to ensemble learning
    
    Speaker: Aashwin Mishra (SLAC)
    
    Random_Forests.mp4
Wednesday 14 October
- 12:00 → 14:00
  Introduction to Classical ML Methods
  
  Convener: Aashwin Mishra (SLAC)
  - 12:00
    
    Day 3: Support Vector Machines & Boosting 2h
    
    Session IV: Support Vector Machines
    Session V: Boosting approaches
    
    Speaker: Aashwin Mishra (SLAC)
    
    Boosting&AdaBoost.mp4
    
    SupportVectorMachines.mp4
Thursday 15 October
- 12:00 → 14:00
  Introduction to Classical ML Methods
  
  Convener: Aashwin Mishra (SLAC)
  - 12:00
    
    Day 4: Unsupervised Learning 2h
    
    Session VI: Singular Value Decomposition
    Session VII: Expectation Maximization Algorithm
    
    Speaker: Aashwin Mishra (SLAC)
    
    EMAlgorithm.mp4
    
    PCA.mp4
Friday 16 October
- 12:00 → 14:00
  
  TBD
  
  Convener: Kazuhiro Terao (SLAC)

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ML Initiatives School - Introduction to Classical ML Techniques