- Artificial Intelligence and Machine Learning (AI/ML)
- Deep Learning
- Algorithms
- Dimensionality Reduction
- Tensorflow
- Supervised Learning
- Keras (Neural Network Library)
- Anomaly Detection
- Machine Learning
- Reinforcement Learning
- Unsupervised Learning
Unsupervised Learning, Recommenders, Reinforcement Learning
Completed by Anderson Huang
September 5, 2024
27 hours (approximately)
Anderson Huang'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
