London Data Intelligence Network | Meetup | Oct 2026

London — United Kingdom

London Data Intelligence Network | Meetup | Oct 2026

When

10/22/2026, 5:00:00 PM

Where

14th Floor, The Bower, 207-211 Old St, London EC1V 9NR, London, 17, London, 17, gb

About

Welcome, London Data Intelligence Network! London Data Intelligence Network is a community-based networking event bringing people together to meet peers, share stories, and build meaningful relationships around data intelligence. Hosted by Datacove, award-winning Brighton-based R, Python and Shiny experts, these events also offer inspiring talks, hands-on sessions, and open knowledge sharing, all in a friendly, inclusive environment. Whether you’re just starting out in data or a seasoned expert, there’s always something new to discover, spark your curiosity, and take back to the office. We run four events each year in London, offering fresh insights, lively discussions, and opportunities to connect with the wider Data Intelligence Network, anchored by the EARL Data Intelligence Conference, our flagship event held in Brighton each October. The events are supported by the generous team at Incubeta. For more information, sponsorship opportunities, or to get involved as a speaker, contact us at [admin@datacove.co.uk](https://datacove.co.uk/contact/) or visit https://datacove.co.uk \-\-\- Important Information \-\-\- This is a paid event. Your ticket entitles you to pizza and drink options (soft and alcoholic beverages available). As standard, we cater for Vegetarian, Vegan, and GF. Please contact an organiser for any other requirements. You can book your tickets online through Ticket Pass at a discounted rate: General Admission: £8 online / £10 at the door Student Admission: £4 online / £5 at the door Students must bring an NUS card or any other form of student ID. Cash and card accepted on the door. \-\-\- Talk Information \-\-\- Interpretable Boosted Linear Modelling. We’re delighted to be joined by Paul Beard, Actuary at Pacific Life Re. The talk will focus on the "IBLM" package, which I authored and had accepted to CRAN. In short, Interpretable Boosted Linear Modelling (IBLM) is a technique for fitting machine learning models in R that combines a co

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