Скачать или смотреть MLOps Lecture Series 03 - Serving ML models using Serverless Technologies - GCP & AWS

MLOps Lecture Series (Spring 2021)

Welcome to another lecture on Operationalizing Machine Learning series

In lecture -03 We will recap on the ML model, Model serving using API and Flask App that the was discussed in lecture 2.
Next we will talk about the hosted vs managed solutions and what factors should to be considered while choosing these services
Next let's touch-base on the DevOps effort involved for web server & serverless deployments
Lastly which we will have a quick overview on deploying a ML model using Google Cloud Functions and AWS Lambda Functions

0:00 Intro
6:53 Course Objective
16:20 Brief Overview of Pytorch Model
24:53 Making API calls
43:06 Flask Web framework
1:01:41 Model Serving
1:28:06 Managed services vs hosted services
1:37:53 GCP Cloud Functions
1:59:29 GCP function with Prediction model demo

Other links mentions
https://www.mihaileric.com/posts/we-n...
Lecture Notes : https://github.com/thejat/mlops-noteb...


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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...