Machine Learning Techniques & Applications

Overview

Master AI & Machine Learning for 50% Off

Go under the hood of AI — neural networks, real-world applications & more. Designed by UNSW experts.

This course develops practical skills in implementing supervised and unsupervised machine learning algorithms, evaluating model performance, and selecting suitable techniques. It also introduces deep learning or generative model applications in computer vision and natural language processing.

Syllabus

Implement supervised and unsupervised ML algorithms on benchmark datasets.
Analyze model performance and select suitable ML techniques for specific problems.
Demonstrate use of deep learning or generative models in vision or NLP applications.
Implement supervised and unsupervised ML algorithms on benchmark datasets.
Analyze model performance and select suitable ML techniques for specific problems.
Demonstrate use of deep learning or generative models in vision or NLP applications.