Presented By O'Reilly and Cloudera
Make Data Work
31 May–1 June 2016: Training
1 June–3 June 2016: Conference
London, UK
Matthew Smith

Matthew Smith
Computational Science Lab, Microsoft Research

@JungleTeuch

Always attracted to solving real world problems involving complex dynamical systems, Matthew Smith initially trained as an ecologist before undertaking an applied mathematics PhD to up-skill in quantitative techniques before joining the Computational Science Laboratory at Microsoft Research, Cambridge. Matthew has become renowned for completing extremely difficult predictive analytics research, principally using prototype research software. He now applies those skills to solve real-world data science problems.

Sessions

15:30–16:00 Wednesday, 1/06/2016
Hardcore data science
Location: Capital Suite 4 Level: Advanced
Matthew Smith (Microsoft Research)
Average rating: ***..
(3.50, 2 ratings)
Matthew Smith demonstrates how to gain unexpectedly high predictive accuracy, new insights for the domain experts and customers into the functioning of the system, and computationally efficient prediction algorithms, in applications such as predicting crops, global carbon emissions, diseases, ecosystems, species distributions, weather, roads, and riots. Read more.