A public reference page on the mathematics behind common machine-learning models.
Standard deviation
https://www.mathsisfun.com/data/standard-deviation-formulas.html
Linear regression
https://youtu.be/owI7zxCqNY0
Mean squared error
https://youtu.be/J65aHHIco4Y
Understanding AUC and ROC
https://youtu.be/4jRBRDbJemM
Correlation and Covariance
https://www.youtube.com/embed/qtaqvPAeEJY
Pearson Correlation
https://youtu.be/xZ_z8KWkhXE
Spearman Correlation
https://www.youtube.com/embed/JwNwbu-g2m0
Understanding Box Plots
The easiest way to understand a boxplot is to visualize what it looks like on a starndard distribution dataset.
Vector Auto Regression
Open the referenced video
AIC & BIC
Open the referenced video
Bayes
Online copy
Entropy
CAPM
Understanding factor based investing - https://www.morningstar.com/articles/636847/understanding-factor-models
Fama French 3 factor model
https://www.youtube.com/embed/Iel_GRQNAxA
Gradient boost
https://www.youtube.com/watch?v=2xudPOBz-vs
https://www.youtube.com/watch?v=jxuNLH5dXCs
Principle Component Analysis / Eigenvalues
https://www.youtube.com/embed/FgakZw6K1QQ
https://www.youtube.com/embed/_UVHneBUBW0
Market neutral pairs based trading
https://www.youtube.com/embed/IVAmm34eKWQ
Understanding neural networks
https://youtu.be/aircAruvnKk
https://youtu.be/IHZwWFHWa-w
https://youtu.be/Ilg3gGewQ5U
