BEGIN:VCALENDAR VERSION:2.0 PRODID:-//AUA Newsroom - ECPv6.2.9//NONSGML v1.0//EN CALSCALE:GREGORIAN METHOD:PUBLISH X-WR-CALNAME:AUA Newsroom X-ORIGINAL-URL:https://newsroom.aua.am X-WR-CALDESC:Events for AUA Newsroom REFRESH-INTERVAL;VALUE=DURATION:PT1H X-Robots-Tag:noindex X-PUBLISHED-TTL:PT1H BEGIN:VTIMEZONE TZID:Asia/Yerevan BEGIN:STANDARD TZOFFSETFROM:+0400 TZOFFSETTO:+0400 TZNAME:+04 DTSTART:20180101T000000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTART;TZID=Asia/Yerevan:20180927T190000 DTEND;TZID=Asia/Yerevan:20180927T210000 DTSTAMP:20240329T132555 CREATED:20180918T083932Z LAST-MODIFIED:20180918T084125Z UID:27061-1538074800-1538082000@newsroom.aua.am SUMMARY:Machine Learning at Central and Commercial Banks DESCRIPTION:About the Event: \nToday machine learning has a crucial role in many areas of the financial ecosystem\, from approving loans to risk assessment\, asset management and fraud detection. Dr. Tigran Sukiasyan will cover topics such as:\n\nTraditional Credit Risk Modelling;\nLearning Countrywide Probability of Credit Defaults and Financial Stability Implications;\nMachine Learning Algorithms for Economic Time Series Forecasting;\nText Mining for Monetary Policy Analysis;\nOther Use Cases.\n\nAbout the Speaker: \nDr. Tigran Sukiasyan is a PhD researcher at the National Polytechnic University of Armenia\, where he is involved in a research project on the applications of big data and machine learning engineering in economics. He worked at the Monetary Policy Department of the Central Bank of Armenia and currently develops credit rating system at Ameriabank. He is also a visiting lecturer of Data Science at Yerevan State University. \nLanguage: English URL:https://newsroom.aua.am/event/machine-learning-at-central-and-commercial-banks/ CATEGORIES:Events Calendar,Science & Engineering ATTACH;FMTTYPE=image/png:https://newsroom.aua.am/files/2018/09/Machine_Learning_FB.png ORGANIZER;CN="Akian College of Science and Engineering (CSE)":MAILTO:info@aua.am, cse@aua.am END:VEVENT END:VCALENDAR