Resource Libraries
Our curated AI Industry Resource Library is freely available to all subscribers of our platform. Enrolment to courses may include access to additional, specialised resource libraries.
Products
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Lapse Experience Analysis in Python (P5)
BundleDiscover how to use advanced techniques such as fitting regression & classification ML models, feature engineering, and reporting in this end-to-end walkthrough investigating lapse rates. Resource library included. £325 once off: 3 months' access
£325
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Machine Learning (Basics of Non-Life Pricing in R) (R5)
CourseExplore building a technical tariff through GLMs in R to learn the basics of non-life pricing using data science techniques through interactive Jupyter Notebooks. £300 once-off fee: 3 months' access.
£300
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Advanced Method of non-life pricing with R (R6)
CourseDiscover how to use advanced techniques for non-life pricing such as regression models and calibrating machine learning models in R through interactive Jupyter Notebooks. £300 once-off fee: 3 months' access or pay monthly.
£300
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Other practical applications of Machine Learning in non-life insurance (R7)
CourseExplore applications of advanced methods in non-life pricing in R, such as unsupervised machine learning algorithms and profitability and competition analysis through Jupyter Notebooks. £300 once-off fee: 3 months' access or pay monthly.
£300
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A Introduction to AI Risk Management (W3)
BundleThis workshop offers an introduction to performing AI risk management, discussing different guidelines for AI risk management, walking through explainability techniques and best practice, with a curated resource library. £325 for 3 months' access.
£325
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A Practical Guide to KPIs under IFRS 17 (FR2)
BundleExplore how Key Performance Indicators (KPIs) are impacted by IFRS 17, how to transition to new KPIs, and how to calculate KPIs under IFRS 17, supplemented by a curated resource library. £325 once-off fee: 3 months' access.
£325