Loc Nguyen

on the atlas — 5

• Important • vinhloc30796@gmail.com1 savers
• 7 Techniques to Handle Multicollinearity that Every Data Scientist Should Know | by Satyam Kumar | Nov, 2021 | Towards Data Science1 savers
• Precision-Recall Curve is More Informative than ROC in Imbalanced Data: Napkin Math & More | by Tam D Tran-The | Nov, 2021 | Towards Data Science1 savers
• Injecting Computation Everywhere–A SXSW Update—Wolfram Blog1 savers
• Running ML Python Code at Scale with Ray | by Christy Bergman | Nov, 2021 | Towards Data Science1 savers

highlights — 3

• Image by Author. While the random baseline is fixed at 0.5 with ROC, the random baseline of the PR curve is determined by positive class prevalence.

  Precision-Recall Curve is More Informative than ROC in Imbalanced Data: Napkin Math & More | by Tam D Tran-The | Nov, 2021 | Towards Data Science

• And in fact Mathematica celebrated its 25th anniversary last year—and in those 25 years it’s gotten used to invent and discover and learn a zillion things—in pretty much all the universities and big companies and so on around the world. And actually I myself managed to carve out a decade to actually use Mathematica to do science myself. And I ended up discovering lots of things—scientific, technological and philosophical—and wrote this big book about them.

  Injecting Computation Everywhere–A SXSW Update—Wolfram Blog

• The newest open-source library from Facebook, Kats, includes the original Prophet plus newer libraries for Multivariate forecasting, DeepLearning forecasting, and Anomaly Detecti

  Running ML Python Code at Scale with Ray | by Christy Bergman | Nov, 2021 | Towards Data Science