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Luca Belli

from San Francisco, CA
Age ~39
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Connected to:
Andres Belli, 44Ariel Belli, 32Carlos Belli, 99Carol A Belli, 83Donna L Belli, 88Joseph A Belli, 61Karen R Belli, 64Luis Belli, 35Randolph J Belli, 80Angela P Bellia, 80

Luca Belli Phones & Addresses

  • San Francisco, CA
  • Somerville, MA

Resumes

Resumes

Luca Belli Photo 1

Senior Machine Learning Researcher

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Location:
San Francisco, CA
Industry:
Information Technology And Services
Work:
Twitter
Senior Machine Learning Researcher
Twitter Jun 2017 - Jan 2019
Senior Machine Learning Engineer
Silicon Villas Jun 2017 - Jan 2019
Python Instructor
Conversant Llc Sep 2015 - Jun 2017
Senior Scientist
University of Rome "Tor Vergata" Dec 2016 - Dec 2016
Seminar: A Gentle Introduction To Machine Learning
Education:
University of Rome Tor Vergata 2008 - 2013
Doctorates, Doctor of Philosophy, Mathematics, Philosophy Instituto Nacional De Matemática Pura E Aplicada 2010 - 2011
Doctorates, Doctor of Philosophy, Mathematics Master In Data Intelligence E Strategie Decisionali - La Sapienza 2006 - 2008
Master of Science, Masters, Mathematics Heidelberg University 2006 - 2007
Master In Data Intelligence E Strategie Decisionali - La Sapienza 2003 - 2006
Bachelors, Bachelor of Science, Mathematics Università Di Roma Tor Vergata
Skills:
Mathematica
Mathematical Modeling
Programming
Mathematics
Statistics
Machine Learning
Latex
Python
Mathematics Education
C++
Physics
Wolfram Language
Data Analysis
Problem Solving
R
Scientific Computing
Amazon Web Services
Deep Learning
Natural Language Processing
Computer Vision
Cvs
Git
Scala
Languages:
Italian
English
German
Portuguese
French
Luca Belli Photo 2

Luca Belli

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Luca Belli Photo 3

Luca Belli

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Publications

Us Patents

Reducing Redundancy And Model Decay With Embeddings

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US Patent:
20190251476, Aug 15, 2019
Filed:
Feb 8, 2019
Appl. No.:
16/271630
Inventors:
Daniel Shiebler - San Francisco CA, US
Luca Belli - San Francisco CA, US
Jay Baxter - San Francisco CA, US
Hanchen Xiong - San Francisco CA, US
Abhishek Tayal - San Francisco CA, US
International Classification:
G06N 20/20
G06F 17/16
Abstract:
Methods and systems for generating entity embeddings for use with one or more machine learning models are described. The system comprises at least one storage device configured to implement a feature registry for storing features associated with at least one entity and at least one computer processor. The at least one computer processor is programmed to generate at least one entity embedding for the at least one entity, perform a plurality of benchmarking tasks on the generated at least one entity embedding to generate benchmarking data, and publish the at least one entity embedding and the benchmarking data to the feature registry to enable the at least one entity embedding to be shared among a plurality of machine learning models.
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Luca Belli from San Francisco, CA, age ~39 Get Report