June #LondonAI Meetup

We are pleased to announce our London meetup in June. Please register with your full name and email for security purposes.
Many thanks to Lee O’Brien and his colleagues from Investec, we have yet another excellent venue for the event. As usual, we will start with food and drinks at 6pm so please come early if possible.
Agenda (T.B.C.):
- 6:00 to 6:30pm Food and Drinks- Introduction by H2O.ai and Investec (15 mins)- Talk 1: Neural Style Transfer by Ambroise Laurent (20 mins)- Short Break- Talk 2 (T.B.C.)- Talk 3: The Journey to a Multimillion-dollar Moneyball Application by Joe Chow (20 mins)
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Talk 1:Neural style transfer, or how to be Picasso when you don't know how to paint by Ambroise Laurent
Abstract:Take a dive in the world of deep learning as it applies to art and images - We will be looking at neural style transfer, a deep learning technique to create artistic imagery by separating and combining the style and content of images. In this talk you will see neural nets demystified, the history behind the networks we have today and learn a few tips that you can apply to your own deep learning projects. We will also cover the challenges facing visual tasks and what different companies are experimenting with.
Bio:I am a developer at Theodo, a London / Paris based startup that helps large corporates and startups alike, solve complex business problems through cutting edge digital solutions. An interest for technology and coding has pushed me to pick up deep learning as a hobby and I look forward to sharing with you, the insights I have gathered in my personal projects and elsewhere.
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Talk 2: T.B.C.
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Talk 3:Making Multimillion-dollar Baseball Decisions with H2O AutoML and Shiny by Joe Chow
Abstract:Joe recently teamed up with IBM and Aginity to create a proof of concept "Moneyball" app for the IBM Think conference in Vegas. The original goal was to prove that different tools (e.g. H2O, Aginity AMP, IBM Data Science Experience, R and Shiny) could work together seamlessly for common business use-cases. Little did Joe know, the app would be used by Ari Kaplan (the real "Moneyball" guy) to validate the future performance of some baseball players. Ari recommended one player to a Major League Baseball team. The player was signed the next day with a multimillion-dollar contract. This talk is about Joe's journey to a real "Moneyball" application.
Bio :Jo-fai (or Joe) Chow works at H2O.ai as a data science evangelist / community manager. Before joining H2O, he was in the business intelligence team at Virgin Media in UK where he developed data products to enable quick and smart business decisions. He also worked remotely for Domino Data Lab in the US as a data science evangelist promoting products via blogging and giving talks at meetups. Joe has a background in water engineering. Before his data science journey, he was an EngD research engineer at STREAM Industrial Doctorate Centre working on machine learning techniques for drainage design optimization. Prior to that, he was an asset management consultant specialized in data mining and constrained optimization for the utilities sector in the UK and abroad. He also holds an MSc in Environmental Management and a BEng in Civil Engineering.