- 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 HAFSA HAFEEZ SIDDIQUI
October 4, 2024
27 hours (approximately)
HAFSA HAFEEZ SIDDIQUI'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
