GI Data Science Event London - Day 3

Actuartech: making sense of the impact of technology for actuarieswww.actuartech.com

Actuartech

Actuarial Data Science Training: General Insurance (Other practical applications of Machine Learning in non-life insurance)

167 City Rd

Sales are now closed. If you are still interested in attending this event, please contact us at info@actuartech.com to discuss options.Actuarial Data Science Training: General Insurance (Other practical applications of Machine Learning in non-life insurance)3 day Training Event London - 18 MARCH - SINGLE DAY TICKET ONLYWe are pleased to present a 3 day hands on general insurance training event in London.The aim of this workshop is to:- Present basic and more advanced actuarial and statistical techniques used in non-life pricing, competition analysis and profitability analysis.- Explore practical problems faced by pricing actuaries and product managers by working through examples and case studies- Introduce machine learning techniques used in non-life pricing in order to open new perspectives for product development (for example competition analysis and profitability analysis).Participation is flexible: you can sign up for Day 1, Day 2, Day 3 or all days according to your needs and availability. Please see below a brief outline of each training day with a link to the relevant event and additional course information. Actuarial Data Science Training: General Insurance<a href="https://www.eventbrite.co.uk/e/88574156687" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Day 1: 08:30-17:30 – Basics of non-Life pricing: introduction to GLMs in R</a><a href="https://www.eventbrite.co.uk/e/88574602019" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Day 2: 09:00 - 17:30 – Advanced Methods of non-life pricing with R </a><a href="https://www.eventbrite.co.uk/e/88575003219" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Day 3:. 09:00 - 17:30 – Other practical applications of Machine Learning in non-life insurance. </a>**This ticket is for Day 3 only - for tickets to the three day event please <a href="https://www.eventbrite.co.uk/e/87547032531" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">click here</a>.**Actuarial Data Science Training: General Insurance (Other practical applications of Machine Learning in non-life insurance)9h-10h30 − Data Management: Selection, PreAnalysis, Feature Engineering andFeature Selection− Case Study: Data analysis and featuresselection with random forest 10h45-12h30 − Case Study: Continuous Variablescategorization using regression trees orclustering methods− Case Study: Application of GBM methodto highlight interactions13h30-15h30 − Profitability and Competition analysis:profitability and positioning assessment,reverse engineering of competitorsprices15h45-17h30 − Introduction to unsupervised machinelearning algorithms (k-means and HAC):methodology and examples− Case study: ProfitabilityThe event is hosted by Actuartech and Reacfin. The event will count towards CPD.Required materialAttendees are encouraged to bring a laptop computer with R installed as well as some useful packages (all the information will be provided after subscription). A basic knowledge of the R software will be useful, but not required.LanguageThe training will be conducted in English.

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GI Data Science Event London - Day 3

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GI Data Science Event London - Day 3

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