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Talk1 h 7 min

Towards increasing predictability of machine-learning research

Artem Vorozhtsov and Andrey Ustyuzhanin · CERN

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About

Dealing with system complexity is common problem for wide spectre of companies. It is always the case when people use machine learning for their needs. In Yandex as search engine company we are working with rapidly growing datasets, variety of data and different set of quality metrics. Usually research results in such environments are difficult to predict and tend to take unpredictable amount of time.

This talk describes several scenarios from Yandex everyday life that rely on machine learning techniques focusing on principles and instruments that help making research results more predictable both in terms of time required and quality of obtained results. .

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The talk

  1. Towards increasing predictability of machine-learning research 2013-09-16 · 1 h 7 min · CERN's player

Credits and licence

Institution
CERN
Department
Computing Seminar
Taught by
Artem Vorozhtsov, Andrey Ustyuzhanin
Year
2013
Language
English
Subjects
Computer science
Source
CERN
Licence
CERN, as CERN states it. CERN's terms
Attribution
© CERN. CERN provides its audiovisual media free of charge for educational and informational use, credited to CERN; this lecture is shown in CERN's own player.
Who can watch
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