- Anomaly Detection
- Deep Learning
- Applied Machine Learning
- Unsupervised Learning
- Artificial Intelligence and Machine Learning (AI/ML)
- Data Ethics
- Artificial Intelligence
- Machine Learning
- Dimensionality Reduction
- Supervised Learning
- Algorithms
- Reinforcement Learning
Unsupervised Learning, Recommenders, Reinforcement Learning
Completed by Danish Yousuf
July 14, 2024
27 hours (approximately)
Danish Yousuf'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
