Using Auto-Label and Uncertainty Estimation for Active Learning

2 years ago Posted By : User Ref No: WURUR99479 0
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  • TypeWebinar
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  • Location Online Event
  • Price
  • Date 26-04-2022
Using Auto-Label and Uncertainty Estimation for Active Learning, Online Event
Webinar Title
Using Auto-Label and Uncertainty Estimation for Active Learning
Event Type
Webinar
Webinar Date
26-04-2022
Location
Online Event
Organization Name / Organize By
Cognilytica
Presented By
Tyler Mckean, Head of Customer Success at Superb AI
Organizing/Related Departments
Enterprise Data & AI
Organization Type
Company
WebinarCategory
Both (Technical & Non Technical)
WebinarLevel
All (State/Province/Region, National & International)
Related Industries

Engineering

Research/Science

Computer Science

Information Technology

Computer/Technology

Location
Online Event

Enterprise Data & AI is excited to host Tyler Mckean, Head of Customer Success at Superb AI and his presentation ‘Using Auto-Label and Uncertainty Estimation for Active Learning’ on Thursday, February 24, 2022 starting at 12 PM ET!

In computer vision and machine learning operations, data labeling is an essential part of the overall workflow. And for most ML teams, utilizing manual and even AI-assisted workflows for data preparation have been the typical approach. However, with recent advancements in automation technology, it's now imperative that teams re-evaluate the various approaches to data labeling to further determine if automation is a viable solution. Tyler McKean, Superb AI's Head of Customer Success, will go through the various techniques used in Superb AI's Auto-Label, a dive into real world examples of how companies utilize Superb AI's automation tools and a step-by-step demo on how to train and use Auto-Label with Uncertainty Estimation for rapid active learning.

Be sure to stick around for Q&A at the end! Register and attend for free on the Cognilytica event website: https://events.cognilytica.com/CLNjMyMXwxOA

Agenda:

12:00pm- 12:30: Featured Presentation

12:30-1:00pm: Your Q&A and interaction

Registration Fees
Free
Registration Ways
Website
Address/Venue
Online Event  N/A 
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