Alexander Korbonits
3 SlideShares 14 Seguidores 15 Siguiendos
Personal Information
Organización/Lugar de trabajo
Greater Seattle Area United States
Ocupación
Senior Machine Learning Engineer
Sector
Technology / Software / Internet
Sitio web
korbonits.com
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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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Etiquetas
machine learning data science deep learning torch caffe theano python pydata
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Presentaciones

(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
Organización/Lugar de trabajo
Greater Seattle Area United States
Ocupación
Senior Machine Learning Engineer
Sector
Technology / Software / Internet
Sitio web
korbonits.com
Acerca de
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.
Etiquetas
machine learning data science deep learning torch caffe theano python pydata
Ver más