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Dataframes Are All You Need: MLOps on Easy Mode
# Dataframe
# Data Workflow
# MLOps Pipelines

It's often said that the hardest part of MLOps is building and maintaining your datasets. This talk covers the key abstraction of the Dataframe and why Dataframes are such powerful abstractions for this critical part of your MLOps workflow.

We use Daft (www.getdaft.io) as a running example of a Dataframe to showcase how flexible this interface really is for heavy complex data processing, analytics, I/O and feeding your machine learning training pipelines.


Speakers
 Jay Chia
Jay Chia
Cofounder @ Eventual
 Jay Chia
Jay Chia
Cofounder @ Eventual
Agenda
4:00 PM
4:15 PM
Opening / Closing
calendar

Musical Intro

4:15 PM
4:55 PM
Presentation
calendar

Dataframes Are All You Need: MLOps on Easy Mode

It's often said that the hardest part of MLOps is building and maintaining your datasets. This talk covers the key abstraction of the Dataframe and why Dataframes are such powerful abstractions for this critical part of your MLOps workflow.

We use Daft (www.getdaft.io) as a running example of a Dataframe to showcase how flexible this interface really is for heavy complex data processing, analytics, I/O and feeding your machine learning training pipelines.

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 Jay Chia
4:55 PM
5:00 PM
Opening / Closing
calendar

Q&A

5:00 PM
5:15 PM
1:1 networking
calendar

Networking

Event has finished
May 24, 4:00 PM, GMT
Online
Organized by
MLOps Community
MLOps Community
Event has finished
May 24, 4:00 PM, GMT
Online
Organized by
MLOps Community
MLOps Community