- Dimensionality Reduction
- Unsupervised Learning
- Artificial Intelligence
- Machine Learning
- Anomaly Detection
- Data Ethics
- Deep Learning
- Supervised Learning
- Algorithms
- Reinforcement Learning
- Artificial Neural Networks
Unsupervised Learning, Recommenders, Reinforcement Learning
Completed by Muhammad Saad Malik
January 27, 2024
27 hours (approximately)
Muhammad Saad Malik '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
