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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
# First Talk: Introduction to Machine Learning with H2O
In this talk, Joe will give an overview of our company (H2O.ai) and our open-source machine learning platform (H2O). This will be useful for attendees who are not familiar with H2O.
# Second Talk: Automatic Machine Learning with H2O’s AutoML
In recent years, the demand for machine learning experts has outpaced the supply, despite the surge of people entering the field. To address this gap, there have been big strides in the development of user-friendly machine learning software that can be used by non-experts. The first steps toward simplifying machine learning involved developing simple, unified interfaces to a variety of machine learning algorithms (e.g. H2O).
Although H2O has made it easy for non-experts to experiment with machine learning, there is still a fair bit of knowledge and background in data science that is required to produce high-p...
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