- Dimensionality Reduction
- Unsupervised Learning
- Artificial Intelligence
- Machine Learning
- Anomaly Detection
- Data Ethics
- Deep Learning
- Supervised Learning
- Algorithms
- Reinforcement Learning
- Artificial Neural Networks
Unsupervised Learning, Recommenders, Reinforcement Learning
Completed by Amaury Rodriguez
January 1, 2023
27 hours (approximately)
Amaury Rodriguez'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
