- Dimensionality Reduction
- Unsupervised Learning
- Data Ethics
- Machine Learning
- Algorithms
- Applied Machine Learning
- Anomaly Detection
- Supervised Learning
- Reinforcement Learning
- Artificial Intelligence and Machine Learning (AI/ML)
- Deep Learning
- Artificial Intelligence
Unsupervised Learning, Recommenders, Reinforcement Learning
Completed by Lalith Raj Surapalli
January 24, 2024
27 hours (approximately)
Lalith Raj Surapalli'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
