- Unsupervised Learning
- Deep Learning
- Artificial Neural Networks
- Algorithms
- Data Ethics
- Dimensionality Reduction
- Reinforcement Learning
- Machine Learning
- Artificial Intelligence
- Supervised Learning
- Anomaly Detection
Unsupervised Learning, Recommenders, Reinforcement Learning
Completed by Karla Maria Felix Navarro
April 30, 2023
27 hours (approximately)
Karla Maria Felix Navarro'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
