ML Depth
From-scratch derivations — logistic regression, gradient descent, backprop, transformers.
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- 01Logistic Regression: Gradient Descent Derivation
- 02Backpropagation in a 3-Layer Neural Network
- 03Bias-Variance Tradeoff Decomposition
- 04The Attention Mechanism Explained
- 05XGBoost Objective Function & Missing Values
- 06Principal Component Analysis (PCA)
- 07SVM Dual Formulation, KKT & Kernels
- 08Information Theory in ML: Mutual Information, Gain, Gini & Bottleneck
- 09Clustering: K-means vs. Gaussian Mixture Models (GMM)
- 10ARIMA Models for Time Series Forecasting
- 11Adam Optimizer Explained
- 12Feature Scaling & Interactions
- 13Model Selection: AIC, BIC & Cross-Validation
- 14Ensemble Methods: Variance Reduction & Diversity