- Artificial Intelligence and Machine Learning (AI/ML)
- Algorithms
- Deep Learning
- Dimensionality Reduction
- Data Ethics
- Supervised Learning
- Applied Machine Learning
- Anomaly Detection
- Machine Learning
- Artificial Intelligence
- Reinforcement Learning
- Unsupervised Learning
Unsupervised Learning, Recommenders, Reinforcement Learning
Completed by Mohammad Hasan Tajuk Rizal
April 16, 2024
27 hours (approximately)
Mohammad Hasan Tajuk Rizal'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
