- Reinforcement Learning
- Machine Learning
- Artificial Intelligence
- Artificial Neural Networks
- Algorithms
- Deep Learning
- Supervised Learning
- Dimensionality Reduction
- Unsupervised Learning
- Anomaly Detection
- Data Ethics
Unsupervised Learning, Recommenders, Reinforcement Learning
Completed by Lage Antony Valiyaparambil Jose Lal
June 27, 2024
27 hours (approximately)
Lage Antony Valiyaparambil Jose Lal'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
