LXAI: Recommendation Systems with Matrix Factorization in Pytorch

Must register on Eventbrite to attend
https://lxai-recommendation-systems-pytorch.eventbrite.com

About the Presenters:

Yannet Interian - Assistant Professor at University of San Francisco

Yannet is an Assistant Professor at University of San Francisco. Her research interests are data mining and applied statistics, using large datasets. She solves problems from advertising, viral media and on-line social networks. She holds a PhD in Applied Mathematics from Cornell University and a BS in Mathematics from the University of Havana, Cuba. She was a postdoctoral fellow at UC Berkeley. She worked for five years as a Data Scientist at Google. She co-founded Akualab, a start-up that helped organizations develop data-driven products using machine intelligence. She has designed data science courses for Berkeley and USF and is currently teaching full time for USF's Master's in Data Science program.

Linkedin: https://www.linkedin.com/in/interian/

Luis Serrano, Head of Content - Artificial Intelligence at Udacity

I believe education is tremendously important, and I believe every human being deserves a world-class education. This way we can improve as a society. I work towards this goal of democratizing education every day.

One of the most important and ubiquitous current topics is machine learning. There is a very common misconception and it is that machine learning is a complicated subject, only accessible to those with high programming and mathematical skills. This is entirely untrue; machine learning is just the adult version of connect-the-dots, and anybody with a high school education can learn and tackle problems in machine learning.

At Udacity, I am the head of the Machine Learning Nanodegree Team. Our goal is to let everybody know that they can learn machine learning, and give them the right tools for that.

Linkedin: https://www.linkedin.com/in/luisgserrano/

Agenda:

6:00 PM | Doors Open
6:30 PM | Workshop Begins
7:30 PM | 10 min Break
8:30 PM | Networking
9:00 PM | Doors Close

PRE-REQUISITES

• Basic/Intermediate algebra (useful but might not be necessary)
• Basic Computer Skills (might share slides or jupyter notebook with students prior to workshop)

Sponsors:

Impact Hub

Latinx in AI Coalition

Latino Startup Alliance