Machine Learning for Anyone

Presented at HOPE 2020 Virtual Rescheduled, Aug. 2, 2020, noon (90 minutes)

This workshop will break down the fundamental concept of machine learning so that it can be understood by all. It will also cover the basic structure of a web application, and step through training your own machine learning application using freely available tools. By the end of this workshop, you will have launched your own machine-learning-powered web application. https://wiki.hope.net/index.php?title=Machine\_Learning\_for\_Anyone\_workshop

Presenters:

• Olivia Seow
  **Olivia Seow** has a mission to make scary, gate-kept tech friendly and accessible to all. She has taught artists, designers, and musicians who would like to quickly understand and prototype creative tech. She is currently pursuing creative machine learning and human-computer interaction as a graduate student at MIT.

Links:

• https://xiii.hope.net/hope2020/talk/WCQV93/

Similar Presentations:

• BSidesLV 2017 / The New Cat and Mouse Game: Attacking and Defending Machine Learning Based Software
• Black Hat USA 2016 / Applied Machine Learning for Data Exfil and Other Fun Topics
• ShmooCon XI (2015) / Practical Machine Learning for Network Security