Monday 10:50 AM–11:30 AM in Track 2

Well-Aged Bacon: predicting Kevin Bacon's age with the Python Cognitive Services API

Paige Bailey

Audience level:
Novice

Description

This talk will walk through functionality of the Azure Cognitive Services API, in the context of a specific use case (predicting Kevin Bacon's age from 1978 - 2016). Topics addressed include age approximation, emotion detection, hair color, gender, likelihood of moustache or glasses, and more!

Abstract

Overview

This talk will walk through functionality of the Azure Cognitive Services API, in the context of a specific use case (predicting Kevin Bacon's age from 1978 - 2016). Topics addressed include age approximation, emotion detection, hair color, gender, likelihood of moustache or glasses, and more!

Tools Used

Experience Level

If you have experience programming in Python, but are just getting started with machine learning and artificial intelligence, this is the talk for you.

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