The Conference for Machine Learning Innovation

Łukasz Gebel

Łukasz Gebel
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Join the ML Revolution!
Register until April 30:
✓ Raspberry Pi or C64 Mini for free
✓Save up to 313 €
✓10 % Team Discount
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Join the ML Revolution!
Register until April 30:
✓ Raspberry Pi or C64 Mini for free
✓Save up to 313 €
✓10 % Team Discount
Register Now
Join the ML Revolution!
Register until May 28:
✓ ML Intro Day for free
✓ Raspberry Pi or C64 Mini for free
✓ Save up to $580
Register Now
Join the ML Revolution!
Register until May 28:
✓ ML Intro Day for free
✓ Raspberry Pi or C64 Mini for free
✓ Save up to $580
Register Now
Join the ML Revolution!
Register until November 7th:
✓Save up to € 210
✓10% Team Discount
Register Now
Join the ML Revolution!
Register until November 7th:
✓Save up to € 210
✓10% Team Discount
Register Now

Łukasz Gebel

TomTom

Software engineer at TomTom by day, machine learning enthusiast at night. My leading technology is Java and Java-based frameworks. On a daily basis, I work on designing, implementing and deploying distributed systems that work in cloud environments, such as Microsoft Azure and AWS. I’m interested in classification problems and multi-agent systems. I love to learn, read books and play football – in no particular order.

Take me to the full program of Zum vollständigen Programm von Munich Munich .

This Speaker belongs to the Dieser Speaker gehört zum Programm vom MunichMunich program. Take me to the program of . Hier geht es zum Programm von Singapore Singapore .

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All talks by Łukasz Gebel

Munich 2020 Munich 2020 -

Machine Learning: The Bare Math Behind Libraries




All talks by Łukasz Gebel

No current talks available.

All talks by Łukasz Gebel from other editions

Munich 2020 Munich 2020 -

Machine Learning: The Bare Math Behind Libraries



All talks by Łukasz Gebel

No current talks available.

All talks by Łukasz Gebel from other editions

Munich 2020 Munich 2020 -

Machine Learning: The Bare Math Behind Libraries



All talks by Łukasz Gebel

Munich 2020 Munich 2020 -

Machine Learning: The Bare Math Behind Libraries




Behind the Tracks