- Algorithms
- Dimensionality Reduction
- Deep Learning
- Supervised Learning
- Machine Learning
- Unsupervised Learning
- Artificial Intelligence and Machine Learning (AI/ML)
- Tensorflow
- Anomaly Detection
- Reinforcement Learning
- Keras (Neural Network Library)
Unsupervised Learning, Recommenders, Reinforcement Learning
Completed by Andrew D Lawlor
August 16, 2025
27 hours (approximately)
Andrew D Lawlor'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
