The right energy at the right time

Data Science / Machine Learning / unsupervised learning / Algorithms / k-means clusteriing / sinusoidal model / Fourier Theorem / energy / usage patterns

by Archy de Berker, ASI Fellow 2017 We take for granted that with the flick of a switch we can turn on a light, make a cup of tea, and turn on the TV to watch Game of Thrones each Friday evening. All of this requires energy. But more than…

The Future of Policy

Machine Learning / unsupervised learning / Policy / Data Science / government

Setrak Balian, ASI Data Science, London Imagine a virtual world in which policymakers can try out different policies without having to suffer the real-world consequences. ASI Data Science teamed up with HM Department for Education to build a simulated world of teachers and schools in order to investigate effects of…

Detecting Anomalies in the Real World - at Strata + Hadoop London!

Strata + Hadoop Conference / Machine Learning / anomaly detection / balanced forests / random forest / Data Science / supervised learning / unsupervised learning / fraud detection / foreground detection / Data Engineering / Events / ASI / Alessandra Stagliano

A couple of weeks ago, I was lucky enough to give a talk at the Hardcore Data Science track at Strata London, “the Lollapalooza of big data conferences”. The quality of other speakers were intimidatingly good (key people from the Scikit-learn and Google Deepmind, are just two examples) and the…