Skip to content

Course catalog

2 courses matching “encoding”

Reset search: encoding
Abstract cover artwork for Transformers and Attention, Implemented Line by Line, a Deep Learning course Deep Learning
Deep Learning advanced

Transformers and Attention, Implemented Line by Line

Build a transformer from scratch: scaled dot-product attention, multi-head projections, positional encodings, KV caching and the modern variants (RoPE, grouped-query attention, RMSNorm) that make inference cheap. You will train a small model, profile it, and understand precisely where the FLOPs go.

HT Hiroshi Tanaka 4.9

$109.00

17 hours

→
Abstract cover artwork for Feature Engineering That Actually Moves Metrics, a Machine Learning course Machine Learning
Machine Learning intermediate

Feature Engineering That Actually Moves Metrics

Most model gains come from features, not architecture. Target encoding without leakage, temporal features that respect causality, aggregation windows, interaction discovery and feature stores. Includes a rigorous ablation methodology so you can prove which features earned their place.

SD Sofia Duarte 4.7

$69.00

11 hours

→