- Deep Learning
- Algorithms
- Collaborative Filtering
- Recommender Systems
- Mathematics
- Human Learning
- Applied Machine Learning
- Anomaly Detection
- Machine Learning Algorithms
- Machine Learning
- Reinforcement Learning
- Unsupervised Learning
Unsupervised Learning, Recommenders, Reinforcement Learning
Completed by Franky Leonardo Prieto Tellez
November 25, 2024
27 hours (approximately)
Franky Leonardo Prieto Tellez 's account is verified. Coursera certifies their successful completion of Unsupervised Learning, Recommenders, Reinforcement Learning
What you will learn
Use unsupervised learning techniques for unsupervised learning: including clustering and anomaly detection
Build recommender systems with a collaborative filtering approach and a content-based deep learning method
Build a deep reinforcement learning model
Skills you will gain
