Artificial Intelligence and Deep Learning Models for Actuarial Applications
Lecture slides from UNSW’s ACTL3143 & ACTL5111 courses
Overview
These are the lecture slides from my recent “Artificial Intelligence and Deep Learning Models for Actuarial Applications” courses (coded ACTL3143 & ACTL5111) at UNSW. They can be used to see what topics I covered in these courses. The slides are not intended to be used to learn deep learning from scratch. For that, you need to attend the lectures & complete the assessment.
Lecture Materials
- Python (slides)
- Deep Learning with Keras (slides)
- Categorical Variables (slides)
- Classification (slides)
- Computer Vision (slides)
- Natural Language Processing (slides)
- Uncertainty Quantification (slides)
- Recurrent Networks and Time Series (slides)
- Generative Networks (slides)
- Generative Adversarial Networks (slides)
- Interpretability (slides)
Contributors
- Tian (Eric) Dong
- Michael Jacinto
- Hang Nguyen
- Marcus Lautier
- Gayani Thalagoda
Copyright
Patrick Laub