Meetup #63

Learnings from Live Coding: An MLOps Project on Twitch

Can one learn anything useful by creating content online? The usual answer is a sounding YES. But what about live coding an MLOps project on Twitch? Can anything good come out of it?

Take-aways

1. Twitch is a great place to learn and develop a sense of community 2. Live coding is more realistic than traditional tutorials 3. Live Coding is a trend that is going to last 4. Exposure is healthy and makes you more mature and prepared for real industry work. Being okay to make mistakes live is something that helps you evolve as a Data Scientist and as a developer

In this episode

Felipe Campos Penha

Felipe Campos Penha

Senior Data Scientist, Cargill

Felipe Penha creates content about Data Science regularly on the Data Science Bits channel on YouTube and Twitch. He has 8+ years of experience with hands-on data-related work, starting with his doctorate in Astroparticle Physics. His career in the private sector has been devoted to bringing value to various segments of the Food and Beverages Industry through the use of Analytics and Machine Learning.

LinkedIn

Demetrios Brinkmann

Demetrios Brinkmann

Host

Demetrios is one of the main organizers of the MLOps community and currently resides in a small town outside Frankfurt, Germany. He is an avid traveller who taught English as a second language to see the world and learn about new cultures. Demetrios fell into the Machine Learning Operations world, and since, has interviewed the leading names around MLOps, Data Science, and ML. Since diving into the nitty-gritty of Machine Learning Operations he felt a strong calling to explore the ethical issues surrounding ML. When he is not conducting interviews you can find him making stone stacking with his daughter in the woods or playing the ukulele by the campfire.