RR 329: Learning Machine Learning with Marc-André Cournoyer

Ruby Rouges speaks with Marc-André Cournoyer, whose most notable works were the Thin Web Server, Tiny RB Ruby implementation, and a book called “Create your own Programming Language,” response for the creation of Coffee Script. Also he has done some with with Rack 2 and create some of the initial Rack Adapters.

Hosted by: Charles Max Wood • Dave Kimura
Special Guests: Marc-André Cournoyer
RSS Spotify Apple Podcasts YouTube Amazon Music

Show Notes

Panel:
Charles 
Dave
Eric 
Special Guest: 
Marc-André Cournoyer
Ruby Rouges speaks with Marc-André Cournoyer, whose most notable works were the Thin Web Server, Tiny RB Ruby implementation, and a book called “Create your own Programming Language,” response for the creation of Coffee Script. Also he has done some with with Rack 2 and create some of the initial Rack Adapters. 
The discussion covered in this episode are about learning machine learning. How do you learn it in Ruby? The basics of machine learning and the best practices to become more competent in machine learning. Also some diving into hardware, training, for getting the job done. 
In particular, we dive pretty deep on:
  • How to Learn Machine Learning?
  • Important hardware components: GPU, RAM, etc. 
  • Training
  • Algorithms that are doing once impossible things
  • Building a machine learning system for different kind of tasks or applications
  • Decide on a side project and completing a side project
Links: 
Picks:
Eric 
Dave 
Chuck
Marc
Special Guest: Marc-André Cournoyer.
Album Art
RR 329: Learning Machine Learning with Marc-André Cournoyer
0:00
52:56
Playback Speed: