Data Science Lightning Talks

Data Science lighting talks are on again!

Talks:
Brian Gerspacher: Will I Die Poor? Combining life expectancy and wealth projection to determine if I'll outlive my savings.
Jeremy Ellis: Making Machine Learning easier using single HTML file Tensorflowjs
Anmol Sharma: MM-GAN: Synthesizing Missing MR Pulse Sequences using Multi-Modal GAN
Ian Flores: TBD

The 4 lightning talks will be given in a modified Pecha Kucha style, which is detailed below.

If you are interested in giving a lightning talk in the future, please contact a host via meetup.com or the VanTech slack

• #datasciencelightning
• @salvor7
• @lstmemery

Agenda:
Doors at 6pm
Talks from 6:30 to 7:30
7:30 Mingle and then head for food and drinks near by at Rogue.

Data Science Lightning Presentation Rules

• The subject should be something about data science.
• Total Length: 360 to 400 seconds
• Slide length: 10 to 40 seconds
• Prepare for 10 minutes of questions after each presentation.

Slides

• A slide is any change in content from the last slide.
• A new slide must have new content or be a noticeably altered version of the previous.
• Title page that is up before you start and a reference page you leave up during questions do not need to be included in your timings.