- Deep Learning
- Artificial Neural Networks
- Machine Learning
- Supervised Learning
- Artificial Intelligence
- Anomaly Detection
- Dimensionality Reduction
- Reinforcement Learning
- Unsupervised Learning
- Algorithms
- Data Ethics
Unsupervised Learning, Recommenders, Reinforcement Learning
Completed by Adambarage Gethara Tharindi De Alwis
January 8, 2024
27 hours (approximately)
Adambarage Gethara Tharindi De Alwis'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
