Machine Learning for Insurance Analytics - Technical Webinar
DESCRIPTION:
The Machine Learning Techniques for Insurance Analytics Webinar provides a practical overview of machine learning techniques with a focus on insurance and actuarial practice. Participants will learn how machine learning differs from traditional statistical approaches, explore key algorithms, and understand modern data preprocessing techniques, including the use of encoding and embedding.
The session includes hands-on demonstrations in Python, highlighting how AI can assist with code generation. The second part is dedicated to real-world insurance applications showcasing how machine learning methods can support actuarial work in pricing, reserving, and risk management.
The webinar is part of the InFocus Professional Webinar Series.
For those interested in foundational R orientation training, please reach out to us at info@tools4f.com. Additional training sessions can be organised based on demand to support participants in gaining a deeper understanding of the practical examples presented during this course.
SPEAKERS:
Pavel Zimmermann, Radek Hendrych
CPD POINTS ALLOCATED:
For this webinar, the following CPD credits are available under the CPD scheme of the relevant national actuarial association:
Croatia:
Czechia: 6
Slovakia:
Other countries: individual accreditation
No responsibility is taken for the accuracy of this information. Please feel free to inform us at info@tools4f.com about approved CPD credits from other associations, and we will add this information here.
PRELIMINARY PROGRAMME:
9:00 – 11:00 OVERVIEW OF MACHINE LEARNING FOUNDATIONS
- Statistics vs. machine learning
- Basic machine learning algorithms
- Data preprocessing, new data types, and embeddings
11:00 – 12:30 DATA (PRE)PROCESSING SHOWCASE
- Python – code examples and code generation using AI
12:30 – 13:30 BREAK
13:30 – 16:00 ADVANCED MACHINE LEARNING METHODS AND INDUSTRY SHOWCASES
- Selected advanced machine learning techniques
- Application Examples from the Insurance Sector
TIME ALLOWANCE: 6h
LANGUAGE: English
VENUE: MS Teams (online)
FEES: EUR 250 (20% early-bird discount available until 21 April 2026)
Important VAT Information:
A 21% VAT is applied or not applied, depending on the registrant’s billing information and VAT ID
EU businesses (except CZ) with a valid VAT ID: reverse charge no VAT
CZ customers: 21% VAT
EU private customers: VAT charged
Non‑EU customers (private & business): no VAT
Registration details:
Your registration is binding. Cancellation is only possible up to 2 weeks before the first day of the event. If you cancel later, the full participation fee is due. You may appoint someone to take your place, but you must notify us in advance.
T4F has the right to cancel the event if the minimum number of participants is not reached. Registration is open until two working days before the webinar.
If registration has already been closed for this webinar, please send us an email to info@tools4f.com in order to find out whether a late registration is still possible.