Version 1.1
Vortrag: Distributed computing with Ray
Find your hyper-parameters, speed up your Pandas pipelines, and much more
In this talk we will explore Ray - a high-performance and low latency distributed execution framework which will allow you to run your Python code on multiple cores, and scale the same code from your laptop to a large cluster.
Ray uses several interesting ideas like actors, fast zero-copy shared-memory object store, or bottom-up scheduling. Moreover, on top of a succinct API, Ray builds tools to your Pandas pipelines faster, tools that find you the best hyper-parameters for your machine learning models, or train state of the art reinforcement learning algorithms, and much more. Come to the talk and learn some more.
Info
Tag:
03.05.2019
Anfang:
16:00
Dauer:
01:00
Raum:
F0.01
Track:
PyDays 1
Sprache:
en
Links:
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