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The ML Interview Book

Contents

veesarma/ml-interview-book

Contents¶

Every part and every chapter, on one page. The same tree lives in the left sidebar, where each part expands in place.

Home ¶

Contents ¶

Preface¶

I. Math ¶

II. Classical ML ¶

III. Neural Nets ¶

IV. Vision ¶

V. Sequences & Transformers ¶

VI. LLM Training ¶

VII. Post-training ¶

VIII. Multimodal ¶

IX. Generative ¶

X. Self-/Semi-/Weak Supervision ¶

XI. Perception & Autonomy ¶

XII. Reinforcement Learning ¶

XIII. Retrieval, Eval & Reliability ¶

XIV. Systems ¶

XV. Interpretability & Safety ¶

XVI. Coding Canon ¶

XIX. Breadth Review ¶

XX. Your Projects ¶

XVII. ML System Design ¶

XVIII. Company Deep Dives ¶

XXI. Zipline Offboard Perception ¶

References ¶