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.
SFU VentureLabs Harbour Centre - 11th Floor 555 W Hastings St Vancouver
A meetup for people who want to LEARN Data Science as a group. Taking online courses together. Reading books together. Etc. Also with some hands-on workshops taught by 'experts'. It's also a place where you can ask others questions and for help.