- 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 SEBASTIAN DANIEL MASIA MONAGAS
July 21, 2024
27 hours (approximately)
SEBASTIAN DANIEL MASIA MONAGAS'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
