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The 6   Annual
UNSUPERVISED MACHINE LEARNING
ONLINE 
SEMINAR
th

SATELLITE EVENT

UNSUPERVISED MACHINE LEARNING SEMINAR
The high growing in the volume and variety of data, and their use in big data analytics, leads to a growing interest in unsupervised machine learning technologies. Since tagging such quantities of data is infeasible, unsupervised methodologies have been developed to allow systems to analyze and utilize this data - including clustering, probability density estimation, dimensionality reduction, visualization, and more.

Focusing on the theoretical and practical aspects of unsupervised learning, the Unsupervised Machine Learning Online Seminar has accompanied Afeka’s Speech Processing Conference as a satellite event for the past five years.

This year, Prof. Brendan Murphy from University College Dublin has agreed to share his knowledge with us as the satellite seminar’s keynote speaker.

Seminar Program

17:00 Welcome Remarks: Prof. Vered Aharonson, ACLP Manager
17:05 Prof. Brendan Murphy, School of Mathematics and Insight Research Center,
University College Dublin, Ireland
Model-Based Clustering with Sparse Covariance Matrices
18:05 Yoni Eder, School of Electrical and Computer Engineering, Ben-Gurion University
​of the Negev, Beer Sheva, Israel
Measure-Transformed Two-Sample Location Testing
18:25 Closing Remarks

Seminar Keynote Speaker

Seminar Speaker

Prof. Brendan Murphy
University College Dublin
Yoni Eder
Ben-Gurion University
of the Negev, Beer Sheva

July 2nd, 2020 | 17:00