Monetizing Machine Learning: Quickly Turn Python ML Ideas into Web Applications on the Serverless Cloud

© Manuel Amunategui, Mehdi Roopaei 2018

Manuel Amunategui and Mehdi RoopaeiMonetizing Machine Learninghttps://doi.org/10.1007/978-1-4842-3873-8_1

1. Introduction to Serverless Technologies

Manuel Amunategui¹  and Mehdi Roopaei²

(1)

Portland, Oregon, USA

(2)

Platteville, Wisconsin, USA

 

We’re going to create a very simple Flask web application (Figure 1-1) that we will reuse in the next four sections when we explore cloud-based services from Amazon AWS, Google Cloud, Microsoft Azure, and Python Anywhere.

Figure 1-1

Flask

It is a good idea to start with a local version of your website working on your local machine before venturing out onto the cloud.

Note

Download ...