- Dimensionality Reduction
- Unsupervised Learning
- Artificial Neural Networks
- Deep Learning
- Artificial Intelligence
- Anomaly Detection
- Machine Learning
- Supervised Learning
- Algorithms
- Data Ethics
- Reinforcement Learning
Unsupervised Learning, Recommenders, Reinforcement Learning
Completed by Neeraj Srinivasan
June 18, 2024
27 hours (approximately)
Neeraj Srinivasan'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
