Building Machine Learning Solutions for Complex Optimisation
Details
PLEASE NOTE: Clicking 'attend' does not register you for the event. You will need to register for the event on the link provided below to receive a QR code ticket via email. If you do not have a QR code, you will not be able to attend the event.
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Join us in London for our next in-person meet-up in partnership with The Trade Desk on Wednesday 19th March 2025. A free evening of tech talks, a chance to network with the community with refreshments and food provided.
📆 Date: Wednesday 29th January 2025
⏰ Time: 6:00 pm - 9:00 pm GMT
🗣️ Title: From Theory to Scale: Building Machine Learning Solutions for Complex Optimisation
📍 Location: The Trade Desk UK – 10th Floor, Barts Square, One Bartholomew Cl, London EC1A 7BL
How do you take machine learning from theory to real-world impact? Join us for an engaging technical talk and panel discussion exploring the challenges of building scalable ML solutions to optimise complex systems. Experts from The Trade Desk will share insights into designing and deploying models that drive efficiency in large-scale decision-making environments.
We’ll discuss practical approaches to improving supply path optimisation, balancing trade-offs between cost and performance, and scaling models to handle vast amounts of real-time data. This session will provide valuable strategies and best practices for applying ML to real-world challenges.
Following the technical talk, a panel of data scientists from The Trade Desk will share their journeys from diverse academic backgrounds to thriving careers in data science. Gain valuable insights on transitioning from academia to industry and discover the skills and experiences that can pave the way for a successful career in data science.
The full speaker lineup will be confirmed soon!
Agenda:
6:00 PM – Doors open – drinks, food and networking
6:45 PM – Intro from DSF and TTD
6:50 PM – Talk session
7:30 PM – Comfort break
7:40 PM – Panel discussion
8:30 PM – Drinks and networking
9:00 PM – Close
Food and drinks are included.
Sign up here!
PLEASE NOTE: Clicking 'attend' does not register you for the event. You will need to register for the event on the link provided below to receive a QR code ticket via email. If you do not have a QR code, you will not be able to attend the event.