Turning Machine Learning into API
Simply start by setting up flask
npm install -g serve
npm run build
serve -s build -l 3000virtualenv -p Python3 .
source bin/activate
pip install -r requirements.txt
FLASK_APP=app.py flask run
API standing for Application Programming Interface. How two sets of software talk to one another. Learning Machine Learning API is focusing on webAPI(firmly). Let’s say we are opening up an app like a stock app. The app sending a request API to server. And the stock app respond API. So all the status displayed. So two forms of data request. one for just data without web browser responses, the other one for webbrowser format. We can summarize that developer can design what the request looks like so that the server can understand or what the response looks like so that they can make sense of the data.
eBay..
This the first web API in the world.The company set up a management software included accounting. Very brilliant, and smart. PHP and SQL became hot tools at that time with API. Just like a item kept tracking the final sale. That way of understanding influenced pattern matching and storing programing API.
**\\Course: ourgroupstudy.com/api-pattern-matching
Introduction
Data Type
Tools for JSON and XML
Tools for writing Documentation
Review with literature papers
