Archive Graphlab A Distributed Abstraction For Machine Learning

By Editorial Team · September 29, 2026 · 8 min read

Archive Graphlab A Distributed Abstraction For Machine Learning Information Guide

  1. Background on Archive Graphlab A Distributed Abstraction For Machine Learning
  2. Core Information
  3. History
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Background on Archive Graphlab A Distributed Abstraction For Machine Learning

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Core Information

Full GraphLab: A Distributed Abstraction for Machine Learning in the Cloud. by Carlos Guestrin 20130128 Update
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History

Full Archive: Learning Systems: Systems and Abstractions for Large-Scale Machine Learning Update
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Archive: Machine Learning for Big Data in the Cloud
Archive: Machine Learning for Big Data in the Cloud
Dr. Danny Bickson : Large-scale Machine Learning with GraphLab
Dr. Danny Bickson : Large-scale Machine Learning with GraphLab
Graphlab Workshop: What Can You Do with GraphChi - What's New
Graphlab Workshop: What Can You Do with GraphChi - What's New
Graphlab (Part 1)
Graphlab (Part 1)
GraphLab
GraphLab
Machine Learning Work Shop - GraphLab: Large-scale Machine Learning on Natural Graphs
Machine Learning Work Shop - GraphLab: Large-scale Machine Learning on Natural Graphs
GraphLab: Large-Scale Machine Learning on Graphs (BDT204) | AWS re:Invent 2013
GraphLab: Large-Scale Machine Learning on Graphs (BDT204) | AWS re:Invent 2013
OSDI '14 - GraphX: Graph Processing in a Distributed Dataflow Framework
OSDI '14 - GraphX: Graph Processing in a Distributed Dataflow Framework
What is Graphlab in Machine learning||How to Visualize the data ||how to Analyze the data
What is Graphlab in Machine learning||How to Visualize the data ||how to Analyze the data
Towards new deep learning abstractions on top of exist frameworks by Tristan Webb
Towards new deep learning abstractions on top of exist frameworks by Tristan Webb
GraphLab Workshop: Graphs at Scale with GraphLab
GraphLab Workshop: Graphs at Scale with GraphLab

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Last Updated: September 29, 2026

Summary

Carlos Guestrin - Large-Scale Machine Learning: From Algorithms to the Cloud with GraphLab Update
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Summary

Speaker: Carlos Guestrin Event Details: sfbayacm.org/event/ The challenges of advanced analytics and big data cannot be address by developing new Carlos Guestrin at University of Washington - 10/2/12 Session 2- Big Data Applications and Frameworks DMBI 2014 Second Annual International Conference April 24, 2014 ... The Nervana Graph (ngraph) is a Python library for implementing programs that convert descriptions of neural networks into ...

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