Learning Path

Algorithms and Architectures for Building Recommendation Engines

Linear Algebra for Machine Learning → Capstone Project: Build a Recommender

11 Knowledge Nodes · 11 Learning Steps · v0 Active

This advanced graduate-level path equips data scientists in e-commerce and content platforms with the knowledge to design, implement, and evaluate recommendation systems. It covers collaborative filtering, content-based filtering, matrix factorization, ALS, deep learning recommenders, and evaluation metrics, with a strong foundation in machine learning and linear algebra.

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Learning Route

11 learning steps · 3 phases. Click any step to inspect it and see it on the Knowledge Map.

Phase 1

Foundation

4 steps

Phase 2

Core Concepts

4 steps

Phase 3

Advanced Topics

3 steps