STA 4273H - Large Scale Machine Learning, Winter 2015 - University of Toronto CS 485/685 Machine Learning, Shai Ben-David, University of Waterloo STAT 441/841 Classification Winter 2017 , Waterloo 10-605 - Machine Learning with Large Datasets, Fall 2016 - CMU Information Theory, Pattern Recogni...
CS 5350/6350 - Machine Learning, Fall 2016, University of Utah ECE 5984 Introduction to Machine Learning, Spring 2015 - Virginia Tech CSx824/ECEx242 Machine Learning, Bert Huang, Fall 2015 - Virginia Tech STA 4273H - Large Scale Machine Learning, Winter 2015 - University of Toronto CS 485...
Part of our responsibility in guiding how technology affects society is to help train the next generation of researchers. For example, supporting equitable student persistence in computing research through ourComputer Science Research Mentorship Program, whereGooglers have mentoredover one thousand students...
Shouyong Shi (石寿永), Professor and Canada Research Chair, Department of Economics, University of Toronto Xi He (贺熹), Associate Professor, Department of Neurology, Harvard University Frank Hu (胡丙长), Professor, Department of Nutrition and Epidemiology, Harvard University Tao Xu (徐涛), HUST Cl...
Fujitsu Laboratories Ltd. and the University of Toronto have entered into a new partnership, with Fujitsu Laboratories establishing a new research center in Toronto focused on bolstering R&D into breakthrough quantum computing technologies.
wang at the department of electrical engineering and computer science at york university (toronto, ...
2016 Azure Cloud Challenge - University of Toronto 竞赛年份 2016 活动日期(UTC): 周二, 12 4月 2016 07:00 - 周三, 25 5月 2016 06:59 本地时间: 周二, 12 4月 2016 03:00 PM - 周三, 25 5月 2016 02:59 PM Online Competition
University of Toronto 11 2,440 1,976 MIT 32 2,415 4,272 UC San Diego 5 2,250 10,301 Please contact me with any corrections or questions, tom[dot]sanchez[at]vt[dot]edu. Posted in bibliometrics, Citation analysis, Google Scholar, planning, publications | Tagged citations, planning | 2...
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‘By building this new center, UG researchers and departments will be able to continue to use our cloud services and very high-quality computing power. In this way, CIT will remain an expert in research data. Such an exceptionally strong infrastructure is important because it allows us to ...