- Machine Learning
- Dimensionality Reduction
- Reinforcement Learning
- Supervised Learning
- Artificial Neural Networks
- Artificial Intelligence
- Data Ethics
- Anomaly Detection
- Unsupervised Learning
- Algorithms
- Deep Learning
Unsupervised Learning, Recommenders, Reinforcement Learning
Completed by Ayobami Faith Sonibare Jr.
August 23, 2024
27 hours (approximately)
Ayobami Faith Sonibare Jr.'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
