- Applied Machine Learning
- Feature Engineering
- Machine Learning Methods
- Data Preprocessing
- AI Personalization
- Artificial Intelligence and Machine Learning (AI/ML)
- Deep Learning
- Machine Learning Algorithms
- Embeddings
- Machine Learning
- Google Cloud Platform
- Algorithms
Recommendation Systems on Google Cloud
Completed by Alexander Vladimirovich Eliseev
June 13, 2020
13 hours (approximately)
Alexander Vladimirovich Eliseev's account is verified. Coursera certifies their successful completion of Recommendation Systems on Google Cloud
What you will learn
Devise a content-based recommendation engine.
Implement a collaborative filtering recommendation engine.
Build a hybrid recommendation engine with user and content embeddings.
Use reinforcement learning techniques for contextual bandits in the context of recommendations.
Skills you will gain
