Welcome to Recommendation Systems! We've designed this course to expand your knowledge of recommendation systems and explain different models used in recommendation, including matrix factorization and deep neural networks.


This course assumes you have:

  • Completed Machine Learning Crash Course either in-person or self-study, or you have equivalent knowledge.
  • Familiarity with linear algebra (inner product, matrix-vector product).
  • At least a little experience programming with TensorFlow and pandas.

Happy Learning!