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VERSION:2.0
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BEGIN:VEVENT
SUMMARY:The Applied Machine Learning Days – AI & Topology
DTSTART:20210510T180000
DTEND:20210510T220000
DTSTAMP:20260510T052837Z
UID:17b0cfd67a140b11a1f5edea99f9a2bd416dde02d0141ff7a656341f
CATEGORIES:Conferences - Seminars
DESCRIPTION:Kathryn Hess Bellwald\nBryn Keller\nElizabeth Munch\nMarco Arm
 enta\nNicolas Berkouk\nRickard Brüel-Gabrielsson\nShusen Liu\nThe Applied
  Machine Learning Days are one of the largest machine learning & AI events
  in Europe\, focused specifically on the applications of machine learning 
 and AI\, making it particularly interesting to industry and academia.\nEac
 h month\, a domain-specific track will feature top-level speakers\, discus
 sions and keynotes. Some tracks will be preceded or followed by a workshop
  day focussed on hand-on sessions\, coding classes and tutorials.\n\nOn Ma
 y 10th we'll be hosting AI & Topology.\nTopological Data Analysis (TDA) is
  a rapidly growing field with tremendous potential for improving machine l
 earning pipelines\, unboxing the most intricate deep networks\, and creati
 ng new geometric features from data.\nSince the knowledge barrier that pro
 tects TDA might scare some data scientists\, the purpose of this track is 
 not only to showcase TDA as a complementary tool to machine learning\, but
  also to lower this barrier and make TDA more intuitive and accessible.\nT
 he speakers of this track are all renowned leaders in the topics they pres
 ent\; dynamical system analysis using TDA\, analysis of deep networks with
  TDA\, feature engineering via TDA\, data visualisation and dimensionality
  reduction are the main topics discussed in this track.
LOCATION:
STATUS:CONFIRMED
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