- Reinforcement Learning
- Artificial Neural Networks
- Supervised Learning
- Unsupervised Learning
- Data Ethics
- Deep Learning
- Dimensionality Reduction
- Algorithms
- Machine Learning
- Artificial Intelligence
- Anomaly Detection
Unsupervised Learning, Recommenders, Reinforcement Learning
Completed by Yassin Ehab
September 6, 2024
27 hours (approximately)
Yassin Ehab'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
