- Artificial Intelligence
- Machine Learning
- Dimensionality Reduction
- Unsupervised Learning
- Deep Learning
- Reinforcement Learning
- Anomaly Detection
- Data Ethics
- Supervised Learning
- Artificial Neural Networks
- Algorithms
Unsupervised Learning, Recommenders, Reinforcement Learning
Completed by Vlad Lytvynenko
September 15, 2022
27 hours (approximately)
Vlad Lytvynenko'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
