Data Science Hackathon Club Update

  • What we discussed on the first meeting (12/Nov):
  1. Google’s Deep Mind Explained! – Self Learning A.I.
  2. The first machine learning example tutorial (classification) 
  • What we discussed on the second meeting (26 Nov): linear model – part1
  1. Video lecture: linear model
  2. Tutorial problem: write your solution about house price prediction.
  • What we discussed on the third meeting (10 Dec, 11-12, G45): linear model – part2
    1. Video lecture: Gradient Descent, Logistic regression
    2. No practice session due to exam session

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