Alexander Korbonits
3 SlideShares 14 Abonné 15 Suivis
Personal Information
Entreprise/Lieu de travail
Greater Seattle Area United States
Profession
Senior Machine Learning Engineer
Secteur d’activité
Technology / Software / Internet
Site Web
korbonits.com
À propos
Progress is infinitesimal most of the time: how do we measure it? Do we add to progress combinatorially? Are relationships between highly-connected data, people, ideas, products, and services more crucial to understanding the big picture than knowing each element alone? How can we leverage technology to not only understand the world, but make the world a better place? Let's hack the future.
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Mots-clés
machine learning data science deep learning torch caffe theano python pydata
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Présentations

(3)

Deep Learning with Python (PyData Seattle 2015)

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AUC: at what cost(s)?

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Distilling dark knowledge from neural networks

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Personal Information
Entreprise/Lieu de travail
Greater Seattle Area United States
Profession
Senior Machine Learning Engineer
Secteur d’activité
Technology / Software / Internet
Site Web
korbonits.com
À propos
Progress is infinitesimal most of the time: how do we measure it? Do we add to progress combinatorially? Are relationships between highly-connected data, people, ideas, products, and services more crucial to understanding the big picture than knowing each element alone? How can we leverage technology to not only understand the world, but make the world a better place? Let's hack the future.
Mots-clés
machine learning data science deep learning torch caffe theano python pydata
Tout plus