I dont have a Power BI account... How to consume data from endpoints after a model is deployed? The documentation is pretty confusing, a video about that would be really useful
It alternates between Store A and Store B for different days, but how do you account for sales of both Store A and Store B on the same day? For example, it shows sales for A on 9/3 and 9/5, and then for Store B it shows ales for 9/4 and 9/6.
Automated ML's forecasting works on data of varying granularity, i.e. daily, weekly, monthly. We have a variety of example notebooks here: github.com/Azure/MachineLearningNotebooks/tree/master/how-to-use-azureml/automated-machine-learning
What does it say about our future when content targeting computer and data scientists includes liberal use of statements like "this _feels_ like _magic_" ...? Will our future be determined by Kim Kardashian software engineers?
![AutoML Demo from "AI in a Day" [Power BI Tutorial]](http://i.ytimg.com/vi/R07SWQfZDw8/mqdefault.jpg)
Awesome.
I dont have a Power BI account... How to consume data from endpoints after a model is deployed? The documentation is pretty confusing, a video about that would be really useful
It alternates between Store A and Store B for different days, but how do you account for sales of both Store A and Store B on the same day? For example, it shows sales for A on 9/3 and 9/5, and then for Store B it shows ales for 9/4 and 9/6.
Can AutoML - Timeseries will work on Weekly or Monthly data ? or it need daily data ?
Automated ML's forecasting works on data of varying granularity, i.e. daily, weekly, monthly. We have a variety of example notebooks here: github.com/Azure/MachineLearningNotebooks/tree/master/how-to-use-azureml/automated-machine-learning
What does it say about our future when content targeting computer and data scientists includes liberal use of statements like "this _feels_ like _magic_" ...? Will our future be determined by Kim Kardashian software engineers?