„Machine Learning with Python for Actuaries” - fully booked
Online Course „ Machine Learning with Python for Actuaries”
Dates:
9.00 – 11.00, all Tuesday mornings in May 2024 (07 - 14 - 21 - 28 May)
Overview: Amidst the hype around AI and large language models, it is important to remember that most machine learning models used in insurance are based on tabular data. If you're an actuary looking to get started with machine learning in Python, this 4-block course is for you.
Purpose and Nature: The course aims to introduce participants to machine learning with Python, starting with linear models and the standard workflows for selecting and comparing models. From there, we will move on to tree-based models such as random forests and boosted trees, and finally to deep neural networks. We will work with typical data science packages such as Pandas, Scikit-Learn, XGBoost, and TensorFlow.
The course is practical, consisting of four two-hour presentations where techniques are introduced and explained. After the presentations, you will work independently on the exercises to gain experience.
The content of the course is based on the material at https://github.com/mayer79/ml_lecture.
Number of Participants: Min: 10, Max: 30