In this course, we will explore the fundamentals of machine learning in the context of actuarial work, including exploring considerations when applying ML, actuarial use cases of various software packages, and actuarial case studies utilising ML.
If you’re looking to learn how to utilise machine learning techniques in an insurance context, this course is ideal for you. An individual subscription gives you 3 months’ online access to:
As Well As
Our Industry and Actuartech Resource Libraries which feature curated additional content to assist you on your data science journey.
In this course, we will explore the fundamentals of machine learning in the context of actuarial work.
We’ll cover, at a high level, how and why machine learning could be applied in different steps of the data science pipeline, such as data collection & management, and model building & validation. We will introduce the audience to interpretability and explainability measures and explore tradeoffs between example algorithms.
This fundamentals course is suitable for anyone who would like to :
Note it is not essential to have Python experience.
We have tailored packages available to ensure that corporate teams have the option to attend structured live lessons by our tutors, and the option to request a practical assignment and bespoke feedback. Invoicing option available.
