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All 38 topics
Foundations
  • Vectors & Matrices
  • Linear Regression
  • Logistic Regression
  • Gradient Descent
  • Activation Functions
  • Bias-Variance Tradeoff
Training
  • Loss Functions
  • Backpropagation
  • Optimizers
  • Regularization
  • Batch Normalization
  • LR Scheduling
  • Weight Initialization
  • Gradient Clipping
Core Math
  • Softmax
  • MLE & Gaussian
  • Entropy
  • KL Divergence
  • Bayes' Theorem
  • Cross-Validation
  • Eval Metrics
  • Cosine Similarity
Deep Learning
  • CNN
  • Embeddings
  • Attention
  • Transformer
  • Normalization Variants
Sequence Models
  • RNN
  • LSTM
  • GRU
Generative & Prob.
  • PCA
  • SVD
  • VAE
  • Diffusion Models
  • GANs
Modern / LLM
  • Tokenization (BPE)
  • LoRA
  • RLHF