- Reinforcement Learning
- Unsupervised Learning
- Data Ethics
- Anomaly Detection
- Machine Learning
- Algorithms
- Artificial Intelligence
- Deep Learning
- Artificial Neural Networks
- Dimensionality Reduction
- Supervised Learning
Unsupervised Learning, Recommenders, Reinforcement Learning
Completed by JUBIN THOMAS
February 18, 2023
27 hours (approximately)
JUBIN THOMAS'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
