Patrick Landreman: A Crash Course in Applied Linear Algebra | PyData New York 2019
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Aditya Lahiri: Dealing With Imbalanced Classes in Machine Learning | PyData New York 2019
34:26
Michael Johns: Propensity Score Matching: A Non-experimental Approach to Causal... | PyData NYC 2019
15:11
Teorema de Bayes, la geometría del cambio de creencias
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Singular Value Decomposition (SVD): Mathematical Overview
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What Linear Algebra Is — Topic 1 of Machine Learning Foundations
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Ruben van de Geer: A Primer (or Refresher) On Linear Algebra for Data Science | PyData London 2019
1:30:12
Will Kurt: An Introduction to Probability and Statistics | PyData New York 2019
35:11