xREL.v3

.:PROUDLY PRESENTS:.
Cloud Academy Building a Recommendation Engine on Azure
Release Date.: 05-09-2019
Type.: Bookware
Disks.: 35x15mb
Link.: https://cloudacademy.com

Release Notes

Building a Recommendation Engine on Azure is a course
designed for teams interested in using artificial
intelligence to add product recommendations to their websites.
A product recommendation engine is a valuable feature that
helps drive sales on e-commerce sites. In this course, you
will learn the essentials of building, deploying, and
testing a recommendation engine on Microsoft Azure. You
will also build skills to fine-tune a recommendation model
and evaluate its effectiveness.
This course is made up of five lectures covering deploying,
testing, configuring, evaluating models, and making API
requests. This is an intermediate level course, and prior
Azure and API experience is recommended.
Learning Objectives

Deploy a recommendation engine on Microsoft Azure
Test and evaluate different recommendation models
Make API calls to the Microsoft Product Recommendations Solution

Intended Audience

People who are interested in artificial intelligence
services on Microsoft Azure, especially recommendation engines

Prerequisites

Experience using Microsoft Azure

Experience using APIs

Related Training Content

Introduction to Azure Machine Learning

Resources
The GitHub repository for this course is at
https://github.com/cloudacademy/azure-recommendation-engine.

Greetings fly out to:

Kodemusen, KoseBamsen

STM is back.
For all the ppl we worked with
in the past. We salute you.

NFO by NiMiTech
Updated: 09/09/2002