technologyApr 18, 20241:16:09pending
Harnessing Open Source Contributions in Machine Learning and Quantization - ML 148
About this episode
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.
Sponsors
Socials
Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.
Get every episode summarized
Each time Adventures in Machine Learning publishes, we email you a written briefing from the transcript — the topics, who appeared, and any specific claims, with the ad reads skipped.
Email me new episodesFree for 3 shows. No card needed.
Hosts & guests
No transcript yet
This episode has not been transcribed. Request it and it moves to the front of the queue.
More episodes
More from Adventures in Machine Learning
Why Authenticity Beats Algorithms: The New Rules of Digital Marketing - ML 185
Adventures in Machine Learning
Apr 4, 202555:37pending
Integrating Business Needs and Technical Skills in Effective Model Serving Deplo...
Adventures in Machine Learning
Feb 13, 202551:26pending
Navigating Common Pitfalls in Data Science: Lessons from Pierpaolo Hipolito - ML...
Adventures in Machine Learning
Jan 24, 202555:08pending
Cows, Camels, and the Human Brain - ML 182
Adventures in Machine Learning
Jan 9, 202542:06pending