- Applied Machine Learning
- Machine Learning
- Artificial Neural Networks
- Deep Learning
- Artificial Intelligence and Machine Learning (AI/ML)
- Unsupervised Learning
- Google Cloud Platform
- Data Pipelines
- Embeddings
- Reinforcement Learning
- Data Preprocessing
- Feature Engineering
Recommendation Systems on Google Cloud
Completed by Sabir AMHAIDA
April 30, 2020
13 hours (approximately)
Sabir AMHAIDA'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
