A guide to responsible practices of supervised, unsupervised and reinforcment learning  

Attracting, finding and hiring skilled human labor for organizational needs is an every day goal of our talent acquisition processes.

Lets identify the candidates, categorize them based on their similarities & differences and reinforce our system with a positive effect on human behavior.

Lecture guides the attendees through responsible practices of different areas of Machine Learning. 

It demonstrates the effective and appropriate use of Azure Cognitive Services and directs attention to where significant platform features could have been benefitted.

Clear and meaningful innovation beyond existing products and services.

MS Azure AI + Machine Learning  Case Study  

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