ML / Deep Learning
Machine learning, deep learning, neural networks, and AI concepts. From fundamentals to advanced architectures and real-world applications.
2 Articles
Articles
Embeddings โ Introduction
An intuitive introduction to embeddings: fixed-length vectors that place items with similar meaning close together, learned by compressing raw data through a model.
Embeddings โ Recommendation as a Business Problem
Why embeddings exist โ recommendation and search as a business problem โ and how machine learning turns users and items into vectors to surface the right content.