ML Initiatives School - Introduction to Classical ML Techniques

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

Aashwin Mishra (SLAC), Kazuhiro Terao (SLAC)

Monday 12 October

Introduction to Classical ML Methods

Convener: Aashwin Mishra (SLAC)

1 Day 1: Best Practices & CARTs

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

Introduction to Classical ML Methods

Convener: Aashwin Mishra (SLAC)

2 Day 2: Ensemble Learning & Random Forests

Session III: Deep Dive into Bagging approaches to ensemble learning

Speaker: Aashwin Mishra (SLAC)

Random_Forests.mp4

Wednesday 14 October

Introduction to Classical ML Methods

Convener: Aashwin Mishra (SLAC)

3 Day 3: Support Vector Machines & Boosting

Session IV: Support Vector Machines
Session V: Boosting approaches

Speaker: Aashwin Mishra (SLAC)

Boosting&AdaBoost.mp4

SupportVectorMachines.mp4

Thursday 15 October

Introduction to Classical ML Methods

Convener: Aashwin Mishra (SLAC)

4 Day 4: Unsupervised Learning

Session VI: Singular Value Decomposition
Session VII: Expectation Maximization Algorithm

Speaker: Aashwin Mishra (SLAC)

EMAlgorithm.mp4

PCA.mp4

Friday 16 October

TBD

Convener: Kazuhiro Terao (SLAC)