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The 5   Annual
UNSUPERVISED MACHINE LEARNING
SEMINAR
th

SATELLITE EVENT

Unsupervised Machine Learning Seminar
The recent surge in the volume and variety of data, and their use in big data analytics, have sparked 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, among others, clustering, probability density estimation, dimensionality reduction and visualization.

Focusing on the theoretical and practical aspects of unsupervised learning, the Unsupervised Machine Learning seminar has accompanied Afeka’s Speech Processing Conference as a satellite event for the past five years.
This year, Prof. Dr. Ingo Steinwart from the University of Stuttgart has agreed to share his knowledge with us as the seminar’s keynote speaker.

Seminar Program

17:00
17:15

17:25



18:25
18:40

19:00

19:20

19:40
Networking & Registration
Welcome Remarks:
Dr. Itshak Lapidot, Seminar Chairman, ACLP, Afeka College

Keynote Speaker:
Prof. Dr. Ingo Steinwart, Institute for Stochastics and Applications,
Department of Mathematics, University of Stuttgart
Density-Based Cluster Analysis
Coffee Break
Liron Allerhand, Media AI, Microsoft
Detecting Parkinson Using Unsupervised and Semi-Supervised Learning
Shlomo Chazan, Bar-Ilan University
Deep Clustering Based on a Mixture of Autoencoders
Ofer Alt, Midlink Ltd.
Unsupervised ML Business Use Cases
Closing Remarks

Seminar Keynote Speaker

Seminar Speakers

Prof. Dr. Ingo Steinwart
Institute for Stochastics and Applications,
​Department of Mathematics, University of Stuttgart
Liron Allerhand
Media AI, Microsoft
Shlomo Chazan
Bar-Ilan University
Ofer Alt
Midlink Ltd. Unsupervised
​ML Business Use Cases

June 2nd, 2019


To be held at Afeka Tel-Aviv Academic College of Engineering