MLOps Lecture Series 06 - Serving ML Models with Docker and ECS
Автор: Theja Tulabandhula
Загружено: 2021-03-28
Просмотров: 244
Описание:
MLOps Lecture Series (Spring 2021)
Welcome to lecture 06 in the "Operationalizing Machine Learning" series
In lecture 06 We will create a new Docker image using play with docker ( lab env provided by docker) and Container orchestration using Elastic Container Service
We will wind-up this session with the introduction to ML pipeline flow , how to manage a model building workflow, setting up automated jobs using cron, basics of Apache Airflow
and managed workflow tool (Google Cloud Composer)
Chapters
0:00 Course Announcements
7:45 Jupyter Lab demo
21:01 Lecture Objective Recap
39:32 Creating Docker Image Demo
1:16:07 ECS Intro
1:55:55 ML pipelines
Lecture Notes : https://github.com/thejat/mlops-noteb...
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Connect with me here:
Twitter: / ttulabandhula
Email: [email protected]
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Below are playlists on ML, Data Science and Deep Learning.
1. MLOps Playlist (2021): • ML Ops: Deploying ML Models 2021
2a. Deep Learning Playlist: • Deep Learning 2020
2b. Advanced prediction models: • Advanced Prediction Models Spring 2019
3a. Machine Learning Playlist: • Machine Learning IDS575 F19
3b. Statistical Models and Methods : • Statistical Models and Methods Spring 2019
4. Probability Refresher for Business Analytics and Machine Learning: • Probability Refresher for Business Analyti...
5. Linear Algebra Primer for Business Analytics and Machine Learning: • Linear Algebra Primer for Business Analyti...
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