Browse by topic

Every note belongs to a category. Pick one to see its full list of chapters in the order they were written — or pick across every note at once →.

Storage and Streaming

Storage formats, streaming, object stores, relational databases.

6 items Read

Math for ML

Linear algebra, probability, statistics, calculus, information theory, and optimization — the math the rest of the site leans on.

6 items Read

Classical ML

sklearn, boosting, clustering, feature engineering, model evaluation, A/B testing, interpretability, fairness.

3 items Read

Deep Learning

PyTorch, MLP/CNN/RNN, model compression, distillation, RL, generative models.

4 items Read

Time Series

Data preparation, forecasting models, deep learning, foundation models, evaluation, maintenance.

18 items Read

LLM

Transformer architecture, the generation loop, prompt engineering, structured outputs, agent patterns.

25 items Read

Embeddings and Retrieval

Embeddings, vector databases, sparse and hybrid retrieval, chunking, reranking, and the search lineage from BoW to E5.

7 items Read

Econometrics

Endogeneity, IV, RDD, panel data, causal ML.

7 items Read

ML Systems

How models actually run on hardware: GPUs, memory bandwidth and the roofline, kernels, LLM inference and serving, multi-GPU parallelism, capacity planning.

2 items Read