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-FlightPredictionML Algorithm Cheat Sheet:https://docs.microsoft.com/en-us/azure/machine-learning/machine-learning-algorithm-cheat-sheetAzure ML Guest Access, does not require an Azure subscription or a credit card. After 8 hours, it is reset:http://studio.azureml.net/home/anonymousMicrosoft Professional Program for Data Science:https://academy.microsoft.com/en-us/professional-program/data-science/