Vahid Partovi Nia

is Researcher at The Canada Excellence Research Chair in Data Science for Real-Time Decision-Making of Ecole Polytechnique de Montreal. His main research interests are Data Science, Efficient Computing, Biostatistics, and Artificial Intelligence. He was Swiss SNF funded postdoctoral fellow at McGill University, visiting scholar at Stanford University, and received his Ph.D. in Statistics from Ecole Polytechnique Federale de Lasuanne, Switzerland.
His hobbies include science, smart technology, data analysis, music, dance, computing, blogging, and Esperanto.

Do you look for more fun with machine learning? My research team figures out which one is more likely to talk like you Mitterand or Chirac?

Chicago Crime Density

If you want to buy a house in Chicago, better to look at the crime density. Crime data are available publicly by the City of Chicago

Statistical Machine Learning Graduate Course

I often give a graduate course on Statistical Machine Learning and Data Mining every fall at Ecole Polytechnique, check HERE for more information.
To get an idea what this course is about, draw in the square and a k-nearest-neighbour classification algorithm recognizes the digit you drew.
Check a nice convolutional neural networks which is much more precise compred to nearest-neighbours HERE.
Check another visualization on deep neural networks by Google HERE.

We regularly write blog posts on our google blog. Are you looking for data science?

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Current Research Support

Past Research Support