- Artificial Neural Networks
- Machine Learning
- Artificial Intelligence
- Dimensionality Reduction
- Data Ethics
- Unsupervised Learning
- Algorithms
- Anomaly Detection
- Reinforcement Learning
- Deep Learning
- Supervised Learning
Unsupervised Learning, Recommenders, Reinforcement Learning
Completed by Mohamed Ahmed Mohamed Bayomey Sayed Ahmed
April 30, 2023
27 hours (approximately)
Mohamed Ahmed Mohamed Bayomey Sayed Ahmed'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
