- Algorithms
- Data Ethics
- Dimensionality Reduction
- Deep Learning
- Applied Machine Learning
- Artificial Intelligence
- Supervised Learning
- Machine Learning
- Anomaly Detection
- Reinforcement Learning
- Artificial Intelligence and Machine Learning (AI/ML)
- Unsupervised Learning
Unsupervised Learning, Recommenders, Reinforcement Learning
Completed by Van William Schroeder
January 28, 2024
27 hours (approximately)
Van William Schroeder'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
