Event Most firms don’t have unlimited funds, developers, nor data to throw at a problem. But that doesn’t mean they can’t benefit from machine learning and artificial intelligence.
That’s why at our MCubed conference this year, we put the spotlight on how to take key approaches and tools, such as hyperparameter optimisation and reinforcement learning, and apply them in real organisations and businesses, with all their idiosyncrasies and limitations.
So if you join us this September, we’ll have Dr Janet Bastiman, of Storystream, who will walk you through how to approach ML problems when the rest of your company doesn't have time to “nurture your research” and needs results yesterday.
David Blumenthal-Barby, of Babbel, will be discussing how to bridge the gap between machine-learning teams and analytics specialists.
And Gerhard Hausmann, of insurance group Barmenia Krankenversicherung, will be discussing the challenges of noisy data and imbalanced training sets when building an NLP system to make sense of billing.
They’re just part of a wide-ranging agenda that will take you from the fundamental building blocks of machine learning, AI, and analytics, through key tools and frameworks such as TensorFlow and PyTorch, and into their application to real world problems and the very real legal and ethical implications of this.
We’ll be getting even deeper, at our four highly practical workshops covering topics including: developing and deploying Neural Nets; text mining; developing with TensorFlow 2; and getting machine learning into production using containers and DevOps. And yes, you can save on these too, with early bird pricing.
This will all be taking place at the QE II Conference Center in London, England, from September 30 to October 2, and as usual there will be excellent food right the way through, as well as our first-day drinks party. And, with tickets still at early bird prices, now really is the time to head over to the MCubed website to bag your spot. ®
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