DataMListic

60K subscribers

512 videos

Welcome to DataMListic (former WhyML)! On this channel I explain various ML concepts that I encounter in my learning journey. Enjoy the ride! ;) The best way...

Latest Videos

Correlation is Not Causation

Fisher Information is Just Curvature

Bootstrap Resampling - Explained

Most of Your Data is Useless

The Chi-Squared Test is Just Squared Normals

Jensen's Inequality - Why the Average of a Curve is Not the Curve of the Average

Maximum A Posteriori (MAP) - Why L2 Regularization is Bayesian in Disguise

Naive Bayes - Explained

The Law of Large Numbers (is Not the Gambler's Fallacy)

Backpropagation is Just the Chain Rule

A Random Variable is Not Random (and Not a Variable)

Hypothesis Testing - Explained

AdaBoost - Explained

Elastic Net - Explained

Lasso Regression is a Laplace Prior

Ridge Regression is a Gaussian Prior

Probability is not Likelihood

Fisher's Linear Discriminant - Explained

Mutual Information - Explained

Generative Adversarial Networks (GANs) - Explained

Normalization vs Standardization - Explained

Decision Trees Classifiers - Explained

DBSCAN - Explained

Random Forests - Explained

Vector Norms - Explained

Bayesian Linear Regression

Activation Functions in Neural Networks - Explained

Softmax function - Explained

Convolutional Neural Networks (CNNs) - Explained

Maximum Likelihood - Explained