- Dimensionality Reduction
- Artificial Intelligence
- Machine Learning
- Anomaly Detection
- Algorithms
- Artificial Neural Networks
- Unsupervised Learning
- Data Ethics
- Reinforcement Learning
- Supervised Learning
- Deep Learning
Unsupervised Learning, Recommenders, Reinforcement Learning
Completed by Ka Shing Bill Ku
November 25, 2024
27 hours (approximately)
Ka Shing Bill Ku'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
