- Anomaly Detection
- Deep Learning
- Algorithms
- Machine Learning
- Reinforcement Learning
- Artificial Intelligence
- Artificial Intelligence and Machine Learning (AI/ML)
- Applied Machine Learning
- Supervised Learning
- Data Ethics
- Dimensionality Reduction
- Unsupervised Learning
Unsupervised Learning, Recommenders, Reinforcement Learning
Completed by Yoshihisa Nitta
September 21, 2022
27 hours (approximately)
Yoshihisa Nitta'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
