- Artificial Intelligence and Machine Learning (AI/ML)
- Algorithms
- Data Ethics
- Supervised Learning
- Machine Learning Methods
- Anomaly Detection
- Machine Learning
- Reinforcement Learning
- Unsupervised Learning
- Deep Learning
- Artificial Neural Networks
- Dimensionality Reduction
Unsupervised Learning, Recommenders, Reinforcement Learning
Completed by Kristine Thuy Dinh
January 12, 2024
27 hours (approximately)
Kristine Thuy Dinh'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
