Anomaly detection a premier: from Z scores to autoencoders

Speaker: Sergio Solorzano-Rocha, Researcher/Developer at Exeon Analytics
https://www.linkedin.com/in/sergio-solorzano-rocha

Topic:
Anomaly detection a premier: from Z scores to autoencoders

Schedule:
6:00pm - 6:30pm - Registration
6:30pm - 6:35pm - ODSC Intro
6:35pm - 7:20pm - Talk
7:20pm - 7:30pm - Q&A
7:30pm - 8:00pm - Networking and Apero

Bio:
Sergio Solorzano-Rocha is a computational Physicist with experience in
statistical physics, classical and quantum simulation techniques and
data analysis. Over the last two years, he has worked at Exeon
Analytics where he has contributed to developing one of the most
advanced cyber threat detection systems.

Abstract:
In this talk, the practical and theoretical aspects of anomaly detection
will be introduced. In the first part, various basic techniques and
how they relate to each other will be explained. The aim is to provide
a starting point to create useful baselines, that can also be used to
compare results obtained with more complex methods. The second part of the talk is about "advanced" methods (autoencoders, isolation forests,
itemset approaches, etc.) and some of their uses cases.

Thank you to our partner, Liip, for providing us the venue: https://www.liip.ch/en

ODSC Links:
• Get free access to more talks like this at LearnAI:
https://learnai.odsc.com
• Facebook: https://www.facebook.com/OPENDATASCI
• Twitter: https://twitter.com/odsc & @odsc
• LinkedIn: https://www.linkedin.com/company/open-data-science
• Slack Channel: http://odscglobal.slack.com
• Milan Meetup Day Jan 16th, 2020: https://odsc.com/milan/
• East Conference Apr 13th - 17th 2020: https://odsc.com/boston
• India Conference Sept 9th – 12th 2020: https://india.odsc.com