- Artificial Intelligence
- Reinforcement Learning
- Machine Learning
- Artificial Neural Networks
- Data Ethics
- Unsupervised Learning
- Dimensionality Reduction
- Deep Learning
- Supervised Learning
- Anomaly Detection
- Algorithms
Unsupervised Learning, Recommenders, Reinforcement Learning
Completed by Mohamed Haitam Bensbik
March 20, 2025
27 hours (approximately)
Mohamed Haitam Bensbik'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
