Adventures in Machine Learning

Machine Learning is growing in leaps and bounds both in capability and adoption. Listen to our experts discuss the ideas and fundamentals needed to succeed as a Machine Learning Engineer.

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

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Lukas Geiger

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Published : Apr 18, 2024

Duration : 0 Minutes

Show Notes

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.

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Adventures in Machine Learning

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

Show Notes

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