- Algorithms
- Machine Learning
- Dimensionality Reduction
- Data Ethics
- Artificial Intelligence
- Unsupervised Learning
- Deep Learning
- Artificial Neural Networks
- Anomaly Detection
- Supervised Learning
- Reinforcement Learning
Unsupervised Learning, Recommenders, Reinforcement Learning
Completed by Christian Kwasi Dwamena Agyapong
September 7, 2024
27 hours (approximately)
Christian Kwasi Dwamena Agyapong'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
