- Supervised Learning
- Dimensionality Reduction
- Algorithms
- Anomaly Detection
- Artificial Intelligence
- Reinforcement Learning
- Machine Learning
- Artificial Neural Networks
- Unsupervised Learning
- Data Ethics
- Deep Learning
Unsupervised Learning, Recommenders, Reinforcement Learning
Completed by K LAXMAN
May 12, 2024
27 hours (approximately)
K LAXMAN'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
