In this video, our Data Scientist, Guillem Ballesteros, will be taking you through the Machine Learning Studio of Microsoft Azure.
This tutorial video illustrates how to perform some basic data transformations and time series modeling using R and Microsoft’s Azure Machine Learning. The video complements the Quick Start Guide to R in Azure ML at http://azure.microsoft.com/en-gb/documentation/articles/machine-learning-r-quickstart/
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background is annoying and distracting .. otherwise good video .. thanks for putting it up 🙂
How can you do a cross validation on time series data? I don't get it
Just a awesome Video. Thanks for sharing
This is the most helpful video i have found.
The official documentation gave me the impression that one could only make predictions with the automl generated models using POWERBI, but this actually isn’t the case. Python (Jupyter here) for example, can also be used to consume the model, too. Is that correct?
Is there a way to use the visual (web) interface of AZURE MACHINE LEARNING to conduct predictions on a small scale (lets say a dozen entries on an uploaded workbook) or is that not possible?
I’m new and therefore having some hard time. Thank you
How I Import data from TSI to DataFacory?
This is some great stuff man, cheers!
fantastic video – thanks for sharing!
gr8 video stephen. Eze refer:https://github.com/Quantia-Analytics
Hello Stephen, your video is cool. I tried following your steps but got lost in the serialization. I can't fine the code at the github link you gave. Pls can you help me with the code? Thank you.