Introduction to & Comparison of Popular Machine Learning Classification Methods

Aug 22, 2017 · Nangang District, Taiwan

Based on the suggestions received, we will work in groups. (Maybe five groups: A to E).

Tentative Agenda

[1] Using Slack as a Team/Group, by Boy (10 minutes)

[2] Using AI in Diabetes Care Management, by Martin (15 minutes)

[3] Introduction to and comparison of the performances of [A] Gaussian Process Classification, [B] Random Forest Classification, [C] Multi-Layer Perceptron Classification, [D] Support Vector Classification, and [E] K-Nearest Neighbors Classification on a Simple Dataset, by Emmanuel (40 minutes)

[4] Hands-on/Practice by groups A to E (40 minutes)

[5] Closing remarks/comments, Terence or Emmanuel (2 minutes)

Thank you, and see you soon!

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