Unsupervised Learning, Recommenders, Reinforcement Learning
Completed by Simon Galvis
May 4, 2026
27 hours (approximately)
Simon Galvis'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
- Category: Anomaly Detection
- Category: Artificial Intelligence
- Category: Dimensionality Reduction
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Machine Learning
- Category: Artificial Neural Networks
- Category: Deep Learning
- Category: Supervised Learning
- Category: Applied Machine Learning
- Category: Unsupervised Learning
- Category: Reinforcement Learning
- Category: Model Optimization
