- Keras (Neural Network Library)
- Anomaly Detection
- Algorithms
- Unsupervised Learning
- Artificial Intelligence and Machine Learning (AI/ML)
- Tensorflow
- Supervised Learning
- Reinforcement Learning
- Deep Learning
- Dimensionality Reduction
- Machine Learning
Unsupervised Learning, Recommenders, Reinforcement Learning
Completed by Kasi Promod Sivan
January 24, 2023
27 hours (approximately)
Kasi Promod Sivan'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
