ML4ALL

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Earlybird tickets now available!

Tickets are on sale now, but there is a limited supply, so get yours before they're gone!

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Call For Presentations

We are now accepting submissions for presentations.

We'd love to hear your ideas for fascinating talks and engaging hands-on sessions
about Open Source and Machine Learning. It can be as simple or as complicated as you'd like, beginner level or advanced, and based around any technology stack! It's all possible, with the core idea of making Machine Learning accessible to the average developer.

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Speakers

Suz Hinton

Suz Hinton

@noopkat


Machine Learning for Accessibility

Carol E. Reiley

Carol E. Reiley

@robot_MD


TBD

Igor Dziuba

Igor Dziuba

@dziubaigor

Teach Machine To Teach: Personal Tutor For Language Learners

Clair J. Sullivan

Clair J. Sullivan

@cjisalock

A Machine Learning Win at GitHub ...and So Can You!

Hamel Husain

Hamel Husain

@HamelHusain

How to Create Magical Data Products Using Sequence to Sequence Models

Ricky Hennessy

Ricky Hennessy

@rickyhennessy

Using Machine Learning to Increase Health Insurance Coverage


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