Performing Automated Machine Learning with AzureML

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In this video, we will provide an introduction to Azure Machine Learning's Automated ML feature. We will, with a few (dozen) mouse clicks, generate over 1000 models and see how they fare.

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Kevin Feasel

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Kevin is my fav channel now. thank you for teaching us

thankyouthankyou

Kevin its my second video, and its awesome the way that you show step by step. Thanks a lot

guilleavellaneda

Thank you Kevin for the amazing playlist on Azure ML

ggopi

These are great videos - short, concise, fast moving with no filler.
Unfortunately I'm kinda struggling with Azure ML, frankly not sure what it brings to the table. Seems easier and faster to train locally and serialize the model, wrap it up in a API with Flask, and deploy as a Docker container.

MartyAckerman

Thank you for the nice video, I am currently using it as an overview to prepare for the Azure Data Scientist certification! I think a slight mistake occured in the explanation of high cardinality features at around 13:00 - from my understanding at least, high cardinality features are features with many unique values relatively to the dataset size. For example a bunch of unique IDs, which would have no predictive power and might trip up some types of ML models. Your explanation is still positioned correctly, since the relevant AutoML setting detects "high cardinality or no variance features", and your example sounded like a no/low variance feature. I'd post a reference to the relevant Microsoft doc but I don't want to risk my comment being auto-blocked for external links. 😇

Huffman_Tree

Nice Explanation, keep going, good luck for future

datascienceandaiconcepts

Really like your video, too easy to understand, i am not sure if you can give some introduction about the reinforcement learn through with Azure ML.

wenpengzhang

Kudos to you. very nice explaination. Can you also provide a example video for a object detection problem. I want to learn how Azure ML handles object detection problems. (Computer Vision, Images-Label, Problems)

ArbaazShaikh-yt

Is this approach as useful for computer vision models? The example you showed seems more text focused

boggledeggnoggler

I am a complete noob with Azure and had a hard time loading the dataset. For anyone else struggling:

Select the Tabular datatype (Azure ML v1 APIs), then provide the URL at the next step. I mistakeningly tried the Table format and file as well. Could not get them working. On that note, how can I delete datasets in Azure ML? It only gives me the option to archive them. Thanks!

BusinessDuck

Have you ever used the common data model in the azure ml studio? We recently integrated our data with the common data model (cdm) in azure data lake gen2. The docs say we can leverage azure machine learning with the cdm but I do not see an option to import the cdm in ml studio under the data assets or datastores.

PAwader

Awsome video, can you please show how to deploy an automated Azure ML solution to an endpoint? (to be used in Power bi for exemple)

maherkebaier

Oh no it seems like the setup steps have changed in Automated ML :(

pmo

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