- Supervised Learning
- Dimensionality Reduction
- Algorithms
- Anomaly Detection
- Artificial Intelligence
- Reinforcement Learning
- Machine Learning
- Artificial Neural Networks
- Unsupervised Learning
- Data Ethics
- Deep Learning
Unsupervised Learning, Recommenders, Reinforcement Learning
Completed by Melody Koh Si Jie
November 12, 2023
27 hours (approximately)
Melody Koh Si Jie'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
