Oct 27 – 28, 2022
162 5th Avenue
America/New_York timezone

Session

Practical tools for machine learning and data science

Oct 28, 2022, 1:40 PM
2nd Floor: Ingrid Daubechies Auditorium (162 5th Avenue)

2nd Floor: Ingrid Daubechies Auditorium

162 5th Avenue

Conveners

Practical tools for machine learning and data science: Intro to machine learning by building Scikit-Learn estimators from scratch (tutorial/overview)

  • Michael Eickenberg (CCM)

Practical tools for machine learning and data science: Building a connectome of the mini-wasp brain using deep learning (case study)

  • Jingpeng Wu (CCN)

Practical tools for machine learning and data science: Stochastic gradient descent, tricks, learning rates, and momentum (tutorial/overview)

  • Robert Gower (CCM)

Practical tools for machine learning and data science: Improving exoplanet detection with discriminative linear regression (case study)

  • Lily Zhao (CCA)

Presentation materials

There are no materials yet.
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