- Data Ethics
- Applied Machine Learning
- Unsupervised Learning
- Supervised Learning
- Deep Learning
- Artificial Intelligence and Machine Learning (AI/ML)
- Reinforcement Learning
- Anomaly Detection
- Artificial Intelligence
- Dimensionality Reduction
- Algorithms
- Machine Learning
Unsupervised Learning, Recommenders, Reinforcement Learning
Completed by Porya Zarei
September 16, 2022
27 hours (approximately)
Porya Zarei'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
