- Dimensionality Reduction
- Reinforcement Learning
- Machine Learning
- Deep Learning
- Artificial Intelligence
- Unsupervised Learning
- Data Ethics
- Supervised Learning
- Artificial Intelligence and Machine Learning (AI/ML)
- Applied Machine Learning
- Algorithms
- Anomaly Detection
Unsupervised Learning, Recommenders, Reinforcement Learning
Completed by Piyumal Ranasinghe
December 29, 2024
27 hours (approximately)
Piyumal Ranasinghe'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
