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ML crash course - Embeddings

Introduction

Pitfalls of sparse data representations

Translating to a lower-dimensional space

Real-world embedding spaces

Obtaining embeddings

Dimensionality reduction techniques

Training an embedding as part of a neural network

Static vs. contextual embeddings

What’s next