In this show, Justin Scott talks with Azure Cloud Analytics Architect at Microsoft, Beth Zeranski, about steps you can take to get started with machine learning.

Show Highlights:

[4:15 ] Tools for grooming data
[6:40 ] Handling large data
[8:30 ] Getting started with ML
[11:15 ] Answering Yes/No questions
[14:15 ] Choosing a model
[17:05 ] Beginner gotchas!
[19:10 ] Retraining a model
[22:05 ] Other learning sources

Show links mentioned:

• Simple ML demonstration that predicts if a flight will be late:
  https://github.com/bethz/AzureML-FlightPrediction
  
  
• ML Algorithm Cheat Sheet:
  https://docs.microsoft.com/en-us/azure/machine-learning/machine-learning-algorithm-cheat-sheet
  
  
• Azure ML Guest Access, does not require an Azure subscription or a credit card. After 8 hours, it is reset:
  http://studio.azureml.net/home/anonymous
  
  
• Microsoft Professional Program for Data Science:
  https://academy.microsoft.com/en-us/professional-program/data-science/