Personal Information
Organization / Workplace
Greater Seattle Area United States
Occupation
Senior Machine Learning Engineer
Industry
Technology / Software / Internet
Website
korbonits.com
About
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.
Tags
machine learning
data science
deep learning
torch
caffe
theano
python
pydata
See more
- Presentations
- Documents
- Infographics
Kubernetes Networking
CJ Cullen
•
8 years ago
10 more lessons learned from building Machine Learning systems
Xavier Amatriain
•
8 years ago
So a Baby Walks Into a Tech Conference: Confronting Maternal Bias in the Software Industry
Andrea Goulet
•
8 years ago
Recommender Systems (Machine Learning Summer School 2014 @ CMU)
Xavier Amatriain
•
9 years ago
Python for Image Understanding: Deep Learning with Convolutional Neural Nets
Roelof Pieters
•
8 years ago
Spark at Twitter - Seattle Spark Meetup, April 2014
Sriram Krishnan
•
9 years ago
Crowdsourcing big data_industry_jun-25-2015_for_slideshare
Tyler Schnoebelen
•
8 years ago
Deep Learning Made Easy with Deep Features
Turi, Inc.
•
8 years ago
Data Science At Zillow
Nicholas McClure
•
9 years ago
10 Lessons Learned from Building Machine Learning Systems
Xavier Amatriain
•
9 years ago