- Reinforcement Learning
- Machine Learning
- Algorithms
- Artificial Neural Networks
- Artificial Intelligence
- Anomaly Detection
- Dimensionality Reduction
- Unsupervised Learning
- Supervised Learning
- Data Ethics
- Deep Learning
Unsupervised Learning, Recommenders, Reinforcement Learning
Completed by Xiangzhou Chen
March 28, 2024
27 hours (approximately)
Xiangzhou Chen'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
