Scotland Data Science & Technology MeetUp

This is a group for anyone interested in Data Science, Big Data, Analytics and Technology trends. We started this group to build a community to discuss general insights into the market and share personal experiences of working and operating in this area. We hope to cover skills shortages, technological advancements and organisational implications in Data Science and Technology during our series of meetups. All skill levels are welcome.

  • Presentation 1

    Prof Bill Buchanan OBE, PhD, FBCS (www.linkedin.com) -Data, Health and Well-being: Security, Sharing and Analytics

    This Meetup will outline how data can drive improved health care and well-being, and outline a range of research projects which use data as a key driver for improved care. This includes data capture of well-being information within the home, and how this can be used to detect citizens at risk. The event will also outline new architectures and methodologies for the sharing of health and social care data across the agencies involved within the care of the citizen. Along with this, though, there are increased requirements to integrate security into data capture, storage, analysis and reporting. The security and resilience issue will be heightened with forthcoming GDPR and NIS regulations, and where organisations need to look at new methods in protecting their data infrastructure.

    Bill Buchanan is a Professor in the School of Computing...

  • About Joe - LinkedIn: uk.linkedin.com
    Twitter: @matlabulous

    Jo-fai (or Joe) is a data scientist at H2O.ai. 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 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 UK and abroad. He also holds a MSc in Environmental Management and a BEng in Civil Engineering.

    1. Introduction to Machine Learning with H2O (15 mins)
    In this talk, I will give you an overview of our company (H2...