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How to Master MLOps for ML Engineers and Data Scientists

Status
Finished Events
Date
March 1, 2022
Time
3:00 pm UTC
Event Owner
Joseph Itopa
Location
Webinar
How to Deploy Real-Time Computer Vision Models in Production

About this event

The ultimate introduction to MLOps, tech tools you need to know for MLOps implementation, case studies, as well as how to adopt MLOps in organizations.

Speakers

Łukasz Murawski

Łukasz Murawski

Lead ML Engineer at Equinix

Yudhiesh Ravindranath

Yudhiesh Ravindranath

Data Scientist(MLOps) at MoneyLion

Schedule

10 minutes

Introduction

Introduction to MLOps - Lukasz Murawski

1. How to switch to MLOps

2. Tools for effective MLOps implementation

Case Study - Yudhiesh Ravindranath

1. Adopting MLOps in an Organisation

2. CI/CD Pipeline for MLOps

3. Best Practises

4. Continuous Training – Continuous Training(CT) is the process of automatically retraining and serving machine learning models in production, this talk will cover how to create a CT pipeline.

10 minutes

Q&A

Questions from the audience

Finished Events

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