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.

Suosittua kategoriassa Liike-elämä ja talous

puheenaihe
mimmit-sijoittaa
psykopodiaa-podcast
sijotuskasti
rss-rahapodi
pomojen-suusta
ostan-asuntoja-podcast
raharesepti
herrasmieshakkerit
rss-neuvottelija-sami-miettinen
inderespodi
rss-tyoelaman-timantteja
leadcast
oppimisen-psykologia
hyva-paha-johtaminen
rss-myynti-ei-ole-kirosana
kasvun-kipuja
sijoituspodi
rss-paikoillenne-valmiit-laakikseen
rss-hyvat-tyypit-tyossa-asiaa-rekrytoinnista