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