- Applied Machine Learning
- Deep Learning
- Data Ethics
- Dimensionality Reduction
- Supervised Learning
- Artificial Intelligence and Machine Learning (AI/ML)
- Reinforcement Learning
- Algorithms
- Machine Learning
- Anomaly Detection
- Unsupervised Learning
- Artificial Intelligence
Unsupervised Learning, Recommenders, Reinforcement Learning
Completed by sagi racz
August 14, 2022
27 hours (approximately)
sagi racz'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
