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Toronto Machine Learning Series (TMLS)


Original Post LinkedIn - Faraz Thambi

Alzheimer’s disease affects millions of people worldwide, and it is important to predict the disease as early and as accurately as possible.

You don’t want to miss Jekaterina Novikova, PhD talk about her research in the development of novel ML models that help in classifying healthy people from those who develop Alzheimer’s, using short samples of human speech. ML model’s that detect cognitive impairment by reaching agreement among modalities will be presented and spoken about. The resulting model is able to achieve a state of the art performance in both supervised and semi-supervised manner, using manual transcripts of human speech. To hear her and our other amazing speakers at our upcoming hashtag#microsummit on Sept 11th, register here–> http://bit.ly/2U5cRCz. Space is limited to 500 participants.


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