- Unsupervised Learning
- Artificial Neural Networks
- Supervised Learning
- Dimensionality Reduction
- Reinforcement Learning
- Deep Learning
- Anomaly Detection
- Algorithms
- Data Ethics
- Machine Learning
- Artificial Intelligence
Unsupervised Learning, Recommenders, Reinforcement Learning
Completed by Jaime González Molina
February 28, 2024
27 hours (approximately)
Jaime González Molina'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
