- Algorithms
- Applied Machine Learning
- Machine Learning Algorithms
- Reinforcement Learning
- Artificial Intelligence and Machine Learning (AI/ML)
- AI Personalization
- Feature Engineering
- Artificial Neural Networks
- Google Cloud Platform
- Embeddings
- Machine Learning Methods
- Unsupervised Learning
Recommendation Systems on Google Cloud
Completed by Oleksandryna Miroshnychenko
November 22, 2021
13 hours (approximately)
Oleksandryna Miroshnychenko'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
