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✓ML Intro Day for free
✓Raspberry Pi or C64 Mini for free
✓Save up to $580
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Register until November 7th:
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Athan Reines
Quansight
Athan Reines is a full-stack engineer and data scientist. He has a PhD in Physics, where he used machine learning and time series analytics to probe biological systems at the nanoscale. He currently works for Quansight where his work focuses on JupyterLab initiatives, and he actively contributes to open source projects which extend scientific computing capabilities to Node.js and JavaScript.
This Speaker belongs to the Dieser Speaker gehört zum Programm vom SingaporeSingapore program. Take me to the program of . Hier geht es zum Programm von Online Edition Online Edition .
This Speaker belongs to the Dieser Speaker gehört zum Programm vom SingaporeSingapore program. Take me to the program of . Hier geht es zum Programm von Munich Munich .
This Speaker belongs to the Dieser Speaker gehört zum Programm vom SingaporeSingapore program. Take me to the program of . Hier geht es zum Programm von Berlin Berlin .
All talks by Athan Reines
No current talks available.
All talks by Athan Reines from other editions
Singapore 2020 Singapore 2020 -Case Studies: Machine Learning in Web Applications
Berlin 2018 Berlin 2018 Singapore 2020 Singapore 2020 -
Machine Learning in a Browser
All talks by Athan Reines
No current talks available.
All talks by Athan Reines from other editions
Singapore 2020 Singapore 2020 -Case Studies: Machine Learning in Web Applications
Berlin 2018 Berlin 2018 Singapore 2020 Singapore 2020 -
Machine Learning in a Browser
All talks by Athan Reines
Singapore 2020 Singapore 2020 -Case Studies: Machine Learning in Web Applications
Singapore 2020 Singapore 2020 -
Machine Learning in a Browser
All talks by Athan Reines
No current talks available.
All talks by Athan Reines from other editions
Singapore 2020 Singapore 2020 -Case Studies: Machine Learning in Web Applications
Berlin 2018 Berlin 2018 Singapore 2020 Singapore 2020 -
Machine Learning in a Browser
All talks by Athan Reines
Singapore 2020 Singapore 2020 -Case Studies: Machine Learning in Web Applications
Singapore 2020 Singapore 2020 -
Machine Learning in a Browser