- Reinforcement Learning
- Supervised Learning
- Data Ethics
- Artificial Intelligence and Machine Learning (AI/ML)
- Deep Learning
- Artificial Intelligence
- Applied Machine Learning
- Anomaly Detection
- Dimensionality Reduction
- Unsupervised Learning
- Algorithms
- Machine Learning
Unsupervised Learning, Recommenders, Reinforcement Learning
Completed by Muhammad Abdul-Rehman Tahir
November 2, 2024
27 hours (approximately)
Muhammad Abdul-Rehman Tahir'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
