We've embiggened our line-up of MCubed conference speakers. Join us for a hands-on, no-hype dive into AI
Frictionless machine learning? Yes, it's possible – we can't wait to show you how
Event We’ll be opening the doors at MCubed, our three-day dive into machine learning and analytics, in just a couple of weeks – and if you haven’t snapped up your place yet, our latest speaker additions may just tip the balance.
Storystream CTO Joe Baskerville will be joining us to show how containers can make your AI development frictionless, from developing and testing algorithms right through to scaling into a cloud-based production environment.
Tamsin Crossland, of Icon Solutions, will discuss how machine learning can be used to detect fraud in payments systems, including a demo of how to use TensorFlow to detect fraud.
And Prof Mark Whitehorn will deliver an introduction to interpretability, a crucial element of using neural networks in the age of accountability.
They are three great additions to our awesome speaker lineup, which will take you from the basics of machine learning right through to developing, deploying and scaling up your own applications. You can see the full lineup right here.
And there are still places available on our highly practical workshops covering: developing and deploying neural nets; mining text for insights; developing with TensorFlow 2; and getting machine learning into production using containers and DevOps.
This will all be taking place at the QE II Conference Center, London, from September 30 to October 2, and there will be excellent food right the way through. So to bag your spot, head over to the MCubed website now, and we’ll see you in Westminster. ®
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