Engineering Systems for Real-Time Predictions @DoorDash

InfoQ Dev Summit Boston, a two-day conference of actionable advice from senior software developers hosted by InfoQ, will take place on June 24-25, 2024 Boston, Massachusetts.
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Download the audio & slides at InfoQ: bit.ly/2AcP8Yu
Raghav Ramesh presents DoorDash’s thoughts on how to structure machine learning systems in production to enable robust and wide-scale deployment of machine learning, and shares best practices in designing engineering tooling around machine learning.
This presentation was recorded at QCon New York 2018: bit.ly/2JFHitG
The next QCon is QCon London 2019 - March 4-6, 2019: bit.ly/2hxsoN1 . Save GBP75 with “INFOQ75”
For more awesome presentations on innovator and early adopter topics check InfoQ’s selection of talks from conferences worldwide bit.ly/2tm9loz
Interested in Artificial Intelligence, Machine Learning and Data Engineering? Follow the topic on InfoQ: bit.ly/2rrEicK
#DataScience #MachineLearning #Predictions #InfoQ #QConNewYork

[@dharmiknaik1772]

I learnt a lot! Glad I came across this video.

[@AkashGoyal119]

Awesome lecture, I learned a lot!

[@deliverydashcam5002]

why does this system always ping driver for 15+ miles and less than $10 payouts... makes no sense what so ever

[@48956l]

Probably because they're squeezed for drivers at that time.

[@Thelastkeyboardwarrior]

Door dash for like door crash

[@aravindram1480]

What does this guy upto now. His presentation is freaking boring

[@jeremym367]

This man has no idea what he is talking about. No wonder this app sucks.