Women in Voice | AI Workshop with Machine Learning, Chatbots, Sentiment Analysis

MUST REGISTER THROUGH EVENTBRITE TO ATTEND bit.ly/wiv-ai-labs

Our mission at WiV is to provide a safe, inclusive learning environment for our participants to network, and symbiotically learn from each other. To participate, no prior knowledge or experience in these technologies is required, all are welcome and encouraged to participate. The workshop will also include keynotes Dr. Tanushree Luke, Head of AI at U.S. Bank and Meagan Smith, National Director of AI Solutions for Banking.

Who: Women in Voice + friends/allies
What: AI Labs Workshop
When: Monday, October 5, 12:00pm – 4:30pm CST *Note—we’re early to accommodate our European chapters!
Where: Virtual event

Agenda:
• Welcome with Sierra Fontana and Carissa Merrill
• Keynotes with Dr. Tanu Luke and Meagan Smith, introduced by Stephanie Hammes-Betti
• Overview of labs
• (Break)
• Lab breakouts
• Team presentations
• Final Questions + Closing Remarks

Labs Overview

Automated Machine Learning

This lab is meant as an introduction to end to end Machine learning process using Azure Machine learning. In this hands-on lab you will learn to use the Azure Machine Learning workspace to create resources for Machine Learning experiments such as data sources and compute resources. You would further learn to use Automated ML and ML designer to do quick experiments with data without writing any code. At the end of this hands-on lab, you will be better able to plan and implement Machine learning experiments, build operational models as well as deploy.

Chatbots

This guided lab is a primer for building and deploying chatbots agents from scratch. In this hands-on lab you will learn to use the Azure’s natural language processing abilities through QnA maker. You will be able to train a cognitive model using existing documents and teach it to answer questions based on the context. You would be able to take the model and deploy it as a chatbot that can use this intelligent model to answer questions from the end users. At the end of the lab you be able to identify chatbot scenarios, build quick models from existing document database and utilize these models in the chatbot.

Sentiment Analysis

This guided lab is a primer for text analytics based on real time scenarios. In the hands-on lab, you will stream real time tweets from twitter through Azure event hubs. Further, you will use Azure stream analytics to analyze the text inside the tweets using a Machine learning model and predict the sentiment of the tweet. In the end, the participants will be able classify the tweets as happy or sad and then visualize these results on a power BI report.