- Unsupervised Learning
- Deep Learning
- Artificial Neural Networks
- Algorithms
- Data Ethics
- Dimensionality Reduction
- Reinforcement Learning
- Machine Learning
- Artificial Intelligence
- Supervised Learning
- Anomaly Detection
Unsupervised Learning, Recommenders, Reinforcement Learning
Completed by Hsiu-Hsien Lin
September 8, 2022
27 hours (approximately)
Hsiu-Hsien Lin'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
