Pandas, NumPy, Python Tricks: Interview-Ready Reference
A running set of toy datasets and idiomatic pandas/NumPy/Python snippets for common data manipulation interview tasks.
Production OOP Patterns in ML: Interview Reference
A tour of OOP design patterns — encapsulation, inheritance, polymorphism, composition — as applied to building production ML systems.
Sampling & Audience Measurement: Ground-Up Reference
A ground-up look at sampling design, weighting, and universe projections — is your data a trustworthy mirror of the population?
SQL Fundamentals for Senior ML Scientists
A reasoning-first SQL refresher for ML interviews, prioritizing why a query works over syntax memorization.
SQL Fundamentals for Senior ML Scientists (v1)
A reasoning-first SQL refresher for ML interviews, prioritizing why a query works over syntax memorization.
GenAI Foundations: LLMs, Text Processing & Agentic Workflows
Foundational reference on LLM/transformer fundamentals, text processing, evaluation strategies, and production GenAI patterns.
GenAI Foundations: LLMs, Text Processing & Agentic Workflows (v1)
Foundational reference on LLM/transformer fundamentals, text processing, evaluation strategies, and production GenAI patterns.