www.eventbrite.com
Open in
urlscan Pro
13.224.189.58
Public Scan
Submitted URL: http://url2403.dataphoenix.info/ls/click?upn=ANygFPXHBn1peJXu-2FXA8RFOVsKjfemvtavuwxLw69BbOv5vvcFPv0ZwAho9Rr-2FMxXwddjYp-2BFAwYG...
Effective URL: https://www.eventbrite.com/e/webinar-evaluating-xgboost-for-balanced-and-imbalanced-datasets-tickets-603161029877?utm_mediu...
Submission: On April 26 via api from US — Scanned from NL
Effective URL: https://www.eventbrite.com/e/webinar-evaluating-xgboost-for-balanced-and-imbalanced-datasets-tickets-603161029877?utm_mediu...
Submission: On April 26 via api from US — Scanned from NL
Form analysis
0 forms found in the DOMText Content
Skip Main Navigation Eventbrite Trigger search event experience Browse Events Organize Help Log InSign Up Menu Page Content * Today * This weekend * Music * Business * Food & Drink * Health * Hobbies * Performing & Visual Arts ACTIONS PANEL * Like Event * Share this event Ticket sales end soon Apr 27 WEBINAR "EVALUATING XGBOOST FOR BALANCED AND IMBALANCED DATASETS" The talk will introduce XGBoost, and provide examples of evaluation metrics for ML models in fraud and risk-scoring applications. By Data Phoenix Events 162 followers Follow WHEN AND WHERE DATE AND TIME Starts on Thursday, April 27 · 2pm UTC LOCATION Online ABOUT THIS EVENT * 1 hour * Mobile eTicket Data Phoenix team invites you all to our upcoming "The A-Z of Data" webinar that’s going to take place on April 27 at 16.00 CET. * Topic: "Evaluating XGBoost for balanced and imbalanced datasets" * Speaker: Gissel Velarde, Senior Data Scientist at Vodafone * Language: English * Participation: free (but you’ll be required to register) ABOUT THE SPEAKER AND TOPIC Globally, fraud accounts for more than 2 percent of the total revenue loss in the telecommunication sector. Fraud detection is not a trivial problem: fraudsters try different tactics to simulate customers' behavior, constantly invent new ways to fool the system, and might appear sporadically. The project could help prevent equipment theft, reselling, and commission fraud among the many types of fraud scenarios. Dr. Gissel Velarde will present an AI-based Fraud Detection System, including several experiments with XGBoost, demonstrating how efficient machine learning models can automatically detect fraud cases depending on the data used. Gissel Velarde Dr. Gissel Velarde holds a Ph.D. in Computer Science and Engineering from Aalborg University for her work on machine learning-based models to analyze perceptual applications. Dr. Velarde has received several prizes and awards as an engineer and data scientist. In 2021, she received a teaching award at UPB for her lecture: Selected Topics in Artificial Intelligence. In 2022 and 2023, she received Vodafone Start Awards for contributing to AI Strategies and the execution of experiments that generated knowledge to develop a robust detection system. Currently, she is a Senior Expert Data Scientist at Vodafone, leading the risk assessment project from the AI and machine learning side. TAGS * Online Events * Online Networking * Online Science & Tech Networking * #data * #webinar * #ml * #machine_learning * #data_science * #artificial_intelligence * #fraud_detection SHARE WITH FRIENDS Share on FacebookShare on Facebook MessengerShare on LinkedinShare on TwitterShare by Email ABOUT THE ORGANIZER Organized by Data Phoenix Events 162 followers * Contact * Follow Organizer website Report this event Ticket sales end soon SITE NAVIGATION USE EVENTBRITE * Create Events * Pricing * Eventbrite Boost * Eventbrite Mobile Ticket App * Eventbrite Check-In App * Eventbrite App Marketplace * Event Registration Software * Content Standards * FAQs * Sitemap PLAN EVENTS * Sell Tickets Online * Event Planning * Sell Concert Tickets Online * Event Payment System * Solutions for Professional Services * Event Management Software * Community Engagement * Virtual Events Platform * QR Codes for Event Check-In * Post your event online FIND EVENTS * Browse Online Events * Get the Eventbrite App CONNECT WITH US * Report This Event * Help Center * Terms * Privacy * CA Privacy Notice * Accessibility * Community Guidelines Eventbrite + Ticketfly © 2023 Eventbrite About cookies on this site Experiences are everything. Eventbrite, along with our organisers and partners, use cookies to give you a more personalised and efficient online experience. Cookies allow us to monitor site usage and performance, provide more relevant content and ads, and develop new products. You can accept these cookies by clicking "Accept" or reject them by clicking "Reject". You can also manage cookies and learn more about our partners by clicking on "Manage Settings". For more information, please visit our Privacy Policy. DeclineAccept cookiesCookie Settings