- Deep Learning
- Applied Machine Learning
- Unsupervised Learning
- Embeddings
- Artificial Intelligence and Machine Learning (AI/ML)
- Data Preprocessing
- Reinforcement Learning
- Machine Learning
- Artificial Neural Networks
- Feature Engineering
- Google Cloud Platform
- Data Pipelines
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
