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DTSTART;TZID=America/Indiana/Indianapolis:20200310T140000
DTEND;TZID=America/Indiana/Indianapolis:20200310T190000
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SUMMARY:An Afternoon with Intel
DESCRIPTION:Intel will present hardware solutions for IoT\, Machine Learning\, and Computer Vision at the IoT Lab March 10. \nAbout this Event\nExamples for FPGA\, edge processing\, and RealSense vision series will be the focus of this presentation + demos + networking opportunity. \nAgenda:\n2:00 -2:30 PM. Check in and Registration\n2:30 – 2:45 PM. Introductions. IoT Lab Welcome\, Intel and Scale Computing \nIntel\n*Acceleration Hub/ FPGA\n*Video analytics with RealSense Platform\n*openVINO Toolkit for AI Model Optimization \nIndiana based Scale Computing\n*Applications using Intel (vPro) for Edge Platforms/HE150\n5:15-6:30 networking and reception\, light demos and Q&A with presenters + selected startups from the IoT Lab\n7:00 PM Close
URL:https://indianaiot.com/events/an-afternoon-with-intel/
LOCATION:Indiana IoT Lab\, 9059 Technology Ln\, Fishers\, 46038\, United States
CATEGORIES:Indiana IoT Lab Events
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DTSTART;TZID=America/Indiana/Indianapolis:20200310T190000
DTEND;TZID=America/Indiana/Indianapolis:20200310T220000
DTSTAMP:20260801T010411
CREATED:20200224T155204Z
LAST-MODIFIED:20200224T155225Z
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SUMMARY:IndyPy Mixer: IBM Workshop - Bias in Machine Learning
DESCRIPTION:Join the IndyPy meetup this month as they partner with IBM to present a workshop on Bias in Machine Learning (and how to remove it!). \nCan’t make it in person? Join our livestream here: https://sixfeetup.zoom.us/webinar/register/WN_5wAmvnNTQMifB8V3O6bqGA \nAgenda: \n7:00p – 7:15p Announcements and introductions \n7:15p – 9:00pm Workshop with IBM\n“Removing Unfair Bias in Machine Learning” by Svetlana Levitan\, IBM\nExtensive evidence has shown that AI can embed human and societal bias and deploy them at scale. And many algorithms are now being re examined due to illegal bias. So how do you remove bias & discrimination in the machine learning pipeline? In this webinar you’ll learn the debiasing techniques that can be implemented by using the open source toolkit AI Fairness 360. \nAI Fairness 360 (AIF360) is an extensible\, open source toolkit for measuring\, understanding\, and removing AI bias. AIF360 is the first solution that brings together the most widely used bias metrics\, bias mitigation algorithms\, and metric explainers from the top AI fairness researchers across industry & academia. In this webinar you’ll learn:\n· How to measure bias in your data sets & models\n· How to apply the fairness algorithms to reduce bias\nHow to apply a practical use case of bias measurement & mitigation in a data-driven medical care management scenario \nWhat you’ll learn:\nAn introductory look at how bias & discrimination can arise within modern machine learning techniques and the methods that can be implemented to tackle those challenges.\nLearn how to evaluate the metrics using the open-source AI Fairness 360Toolkit (http://aif360.mybluemix.net/) to check for fairness and mitigate machine learning model bias. \nPrerequisites:\nBasic knowledge of machine learning\nExperience using Python (not required) \nMaterials Required Prior to Class:\nLaptop with Python 3 installed\nPlease install the Python packages before the class: https://github.com/IBM/AIF360/wiki/OSCON-PORTLAND-2019andhttps://github.com/ibm/aif360 \nGuests are more than welcome to attend\, but please have each person RSVP on their own Meetup account!
URL:https://indianaiot.com/events/indypy-mixer-ibm-workshop-bias-in-machine-learning/
LOCATION:Indiana IoT Lab\, 9059 Technology Ln\, Fishers\, 46038\, United States
CATEGORIES:Meetups At IoT Lab
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