- Algorithms
- Anomaly Detection
- Artificial Intelligence and Machine Learning (AI/ML)
- Artificial Intelligence
- Deep Learning
- Machine Learning
- Reinforcement Learning
- Unsupervised Learning
- Supervised Learning
- Data Ethics
- Dimensionality Reduction
- Applied Machine Learning
Unsupervised Learning, Recommenders, Reinforcement Learning
Completed by ISMAIL FAIZI
September 6, 2022
27 hours (approximately)
ISMAIL FAIZI'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
