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