Harnessing Open Source Contributions in Machine Learning and Quantization - ML 148

Harnessing Open Source Contributions in Machine Learning and Quantization - ML 148

Lukas Geiger is a Deep Learning Scientist, open-source developer, and an astroparticle physicist. He shares his experience using machine learning to analyze cosmic ray particles and detect secondary particles. We explore the challenges and opportunities of open source as a business model, the potential of models for edge computing, and the importance of understanding open-source code. Join us as we delve into the intersection of physics, machine learning, and the intricate world of software development.
Sponsors

Socials


Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

Jaksot(209)

Suosittua kategoriassa Liike-elämä ja talous

sijotuskasti
mimmit-sijoittaa
rss-rahapodi
psykopodiaa-podcast
herrasmieshakkerit
ostan-asuntoja-podcast
rahapuhetta
rss-rahamania
rss-seuraava-potilas
rss-lahtijat
rss-merja-mahkan-rahat
rss-40-ajatusta-aanesta
rss-sami-miettinen-neuvottelija
leadcast
rss-porssipuhetta
rss-levosta-kasin-yrittajyys
rss-sisalto-kuntoon
rss-vaikuttavan-opettajan-vierella
rss-draivi
rss-ma