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SUMMARY:Machine Learning in Academia vs. Industry: Tech-to-problem fit on 
 3 example projects - Meelis Lootus\, MLTech LTD
DTSTART:20200310T160000Z
DTEND:20200310T170000Z
UID:TALK140794@talks.cam.ac.uk
CONTACT:CCA
DESCRIPTION:It is one thing to optimise Machine Learning (ML) work for pub
 lication\; and a very different one to put it in production\, providing va
 lue in the economy. In his talk\, Meelis will discuss different perspectiv
 es of doing useful things with ML\, and putting deep technology ideas into
  practice\, based on 3 of his past projects.\n\nBio: Meelis completed his 
 Computer Vision & ML PhD at VGG at Oxford University in 2015\, where he de
 veloped ML models to diagnose back pain MRI scans. This led to licensing o
 f the models to industry\, and the subsequent quest for best practically v
 aluable applications of machine learning models. After his PhD\, Meelis wo
 rked in finance and on three different startup ideas in Entrepreneur First
 .
LOCATION:MR5
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