- Applied Machine Learning
- Reinforcement Learning
- Machine Learning
- Artificial Intelligence
- Artificial Intelligence and Machine Learning (AI/ML)
- Anomaly Detection
- Data Ethics
- Algorithms
- Supervised Learning
- Deep Learning
- Unsupervised Learning
- Dimensionality Reduction
Unsupervised Learning, Recommenders, Reinforcement Learning
Completed by Ajay Kumar
September 18, 2025
27 hours (approximately)
Ajay Kumar'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
