The Conference for Machine Learning Innovation

Waren Long

Waren Long
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Join the ML Revolution!
Register until October 20:
✓ Save up to $233
✓ Team discount
✓ Extra Specials for Freelancers
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Join the ML Revolution!
Register until October 20:
✓ Save up to $233
✓ Team discount
✓ Extra Specials for Freelancers
Register Now
Join the ML Revolution!
Register until November 03:

✓ Save up to €494
✓ 10% Team Discount✓ Special discount for freelancers
Register Now
Join the ML Revolution!
Register until November 03:

✓ Save up to €494
✓ 10% Team Discount✓ Special discount for freelancers
Register Now
Join the ML Revolution!
Until the Conference starts:
✓ Group discount
✓ Special discount for freelancers
Register Now
Join the ML Revolution!
Until the Conference starts:
✓ Group discount
✓ Special discount for freelancers
Register Now

Waren Long

source{d}

Waren is working at source{d} as a research software engineer in the Machine Learning team. After graduating from Paris in Optimization theory, he joined the Department of Mathematics at UCLA designing optimal networks to minimize the cost of traffic congestion. Today, Waren is applying NLP techniques to model source code and predict program properties. More recently he’s been developing ML-based solutions to gain engineering visibility into a codebase and its processes.

This Speaker originates from the archive of Dieser Speaker stammt aus dem Archiv von BerlinBerlin . Take me to the program of . Hier geht es zum aktuellen Programm von Singapore Singapore .

This Speaker originates from the archive of Dieser Speaker stammt aus dem Archiv von BerlinBerlin . Take me to the program of . Hier geht es zum aktuellen Programm von Berlin Berlin .

This Speaker originates from the archive of Dieser Speaker stammt aus dem Archiv von BerlinBerlin . Take me to the program of . Hier geht es zum aktuellen Programm von Munich Munich .

This Speaker Dieser Speaker originates from the archive of stammt aus dem Archiv von BerlinBerlin . Take me to the current program of . Hier geht es zum aktuellen Programm von Singapore Singapore , Berlin Berlin or oder Munich Munich .

All talks by Waren Long

No current talks available.

All talks by Waren Long from other editions

Berlin 2019 Berlin 2019 -

How to Identify Collaborators in large Codebases using Unsupervised Learning



All talks by Waren Long

No current talks available.

All talks by Waren Long from other editions

Berlin 2019 Berlin 2019 -

How to Identify Collaborators in large Codebases using Unsupervised Learning



All talks by Waren Long

No current talks available.

All talks by Waren Long from other editions

Berlin 2019 Berlin 2019 -

How to Identify Collaborators in large Codebases using Unsupervised Learning



All talks by Waren Long

No current talks available.

All talks by Waren Long from other editions

Berlin 2019 Berlin 2019 -

How to Identify Collaborators in large Codebases using Unsupervised Learning



Behind the Tracks