- 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 Ragini Sudhir Gaggar
January 22, 2024
27 hours (approximately)
Ragini Sudhir Gaggar'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
