- Machine Learning
- Dimensionality Reduction
- Anomaly Detection
- Artificial Intelligence
- Applied Machine Learning
- Unsupervised Learning
- Data Ethics
- Algorithms
- Reinforcement Learning
- Artificial Intelligence and Machine Learning (AI/ML)
- Deep Learning
- Supervised Learning
Unsupervised Learning, Recommenders, Reinforcement Learning
Completed by Farzad Nadiri Alankesh
December 3, 2023
27 hours (approximately)
Farzad Nadiri Alankesh'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
