Media Summary: Today, machine learning (ML) methods play a central role in industry and science. The growth of the web and improvements in ... Carlos Guestrin at University of Washington - 10/2/12 Machine Learning Work Shop - Session 1 - Carlos Guestrin - '

Graphlab A Distributed Abstraction For - Detailed Analysis & Overview

Today, machine learning (ML) methods play a central role in industry and science. The growth of the web and improvements in ... Carlos Guestrin at University of Washington - 10/2/12 Machine Learning Work Shop - Session 1 - Carlos Guestrin - ' The challenges of advanced analytics and big data cannot be address by developing new machine learning algorithms or new ... Big Learning Workshop: Algorithms, Systems, and Tools for Learning at Scale at NIPS 2011 Invited Talk:

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Archive: GraphLab: A Distributed Abstraction for Machine Learning
GraphLab: A Distributed Abstraction for Machine Learning in the Cloud. by Carlos Guestrin 20130128
GraphLab Workshop: Graphs at Scale with GraphLab
Carlos Guestrin - Large-Scale Machine Learning: From Algorithms to the Cloud with GraphLab
GraphLab: Large-Scale Machine Learning on Graphs (BDT204) | AWS re:Invent 2013
Graphlab (Part 1)
Machine Learning Work Shop - GraphLab: Large-scale Machine Learning on Natural Graphs
Archive: Learning Systems: Systems and Abstractions for Large-Scale Machine Learning
10701 GraphLab[-
GraphLab
GraphLab Workshop: Randomized Regression in Parallel and Distributed Environments
NIPS 2011 Big Learning - Algorithms, Systems, & Tools Workshop: Graphlab 2...
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Archive: GraphLab: A Distributed Abstraction for Machine Learning

Archive: GraphLab: A Distributed Abstraction for Machine Learning

Today, machine learning (ML) methods play a central role in industry and science. The growth of the web and improvements in ...

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

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

Speaker: Carlos Guestrin Event Details: http://www.sfbayacm.org/event/

GraphLab Workshop: Graphs at Scale with GraphLab

GraphLab Workshop: Graphs at Scale with GraphLab

2nd

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

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

Carlos Guestrin at University of Washington - 10/2/12

GraphLab: Large-Scale Machine Learning on Graphs (BDT204) | AWS re:Invent 2013

GraphLab: Large-Scale Machine Learning on Graphs (BDT204) | AWS re:Invent 2013

GraphLab

Graphlab (Part 1)

Graphlab (Part 1)

Daniel describes

Machine Learning Work Shop - GraphLab: Large-scale Machine Learning on Natural Graphs

Machine Learning Work Shop - GraphLab: Large-scale Machine Learning on Natural Graphs

Machine Learning Work Shop - Session 1 - Carlos Guestrin - '

Archive: Learning Systems: Systems and Abstractions for Large-Scale Machine Learning

Archive: Learning Systems: Systems and Abstractions for Large-Scale Machine Learning

The challenges of advanced analytics and big data cannot be address by developing new machine learning algorithms or new ...

10701 GraphLab[-

10701 GraphLab[-

10701 GraphLab[-

GraphLab

GraphLab

Carlos Guestrin presents

GraphLab Workshop: Randomized Regression in Parallel and Distributed Environments

GraphLab Workshop: Randomized Regression in Parallel and Distributed Environments

2nd

NIPS 2011 Big Learning - Algorithms, Systems, & Tools Workshop: Graphlab 2...

NIPS 2011 Big Learning - Algorithms, Systems, & Tools Workshop: Graphlab 2...

Big Learning Workshop: Algorithms, Systems, and Tools for Learning at Scale at NIPS 2011 Invited Talk:

Graphlab Workshop: What Can You Do with GraphChi - What's New ?

Graphlab Workshop: What Can You Do with GraphChi - What's New ?

2nd