In this series of videos by Sascha Dittmann he show how to get started with DevOps for Machine Learning (MLOps) on Microsoft Azure.
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Sascha Dittmann has created a series of videos I’m showing how to get started with DevOps for Machine Learning (MLOps) on Microsoft Azure.
In the second video of this 5-part series, you’ll discover how to connect Azure DevOps to your Azure Subscription, as well as create and configure Azure Machine Learning Services from your DevOps pipeline.
If you haven’t yet seen the first video in this series, it’s here on Frank’s World and on YouTube.
Subscribe for more free data analytics videos: https://www.youtube.com/saschadittmann?sub_confirmation=1And don’t forget to click the bell so you don’t miss anything. Share this video with a YouTuber friend: https://youtu.be/mZUdYu345dg
If you enjoyed this video help others enjoy it by adding captions in your native language:https://www.youtube.com/timedtext_video?v=mZUdYu345dg
Watch my most recent upload: http://bit.ly/2OihAlj
Recommended links to learn more about DevOps for Machine Learning (MLOps):
The GitHub repo with the example code I used: https://github.com/SaschaDittmann/MLOps-Lab
Azure DevOps: https://azure.microsoft.com/en-us/services/devops/
Azure Machine Learning Service: https://azure.microsoft.com/en-us/services/machine-learning-service/
Azure Machine Learning CLI Extension: https://docs.microsoft.com/en-us/azure/machine-learning/service/reference-azure-machine-learning-cli
✅ For business inquiries contact me at CloudBlog@gmx.de
✅ Let’s connect:Twitter: https://twitter.com/SaschaDittmannFacebook: https://www.facebook.com/DataDrivenDevInstagram: https://www.instagram.com/saschadittmann/LinkedIn: https://www.linkedin.com/in/saschadittmannGitHub: https://github.com/SaschaDittmann
DISCLAIMER: This video and description contains affiliate links, which means that if you click on one of the product links, I’ll receive a small commission. This helps support my channel and allows me to continue making awesome videos like this. Thank you for the support!
#MLOps #DevOpsForMachineLearning #AzureMLIn this series of videos I’m showing how to get started with DevOps for Machine Learning (MLOps) on Microsoft Azure.
In the second video of this 5-part series, you’ll discover how to connect Azure DevOps to your Azure Subscription, as well as create and configure Azure Machine Learning Services from your DevOps pipeline.
If you haven’t yet seen the first video in this series, I strongly recommend that you do so:
Subscribe for more free data analytics videos:
https://www.youtube.com/saschadittmann?sub_confirmation=1
And don’t forget to click the bell so you don’t miss anything.
Share this video with a YouTuber friend:
If you enjoyed this video help others enjoy it by adding captions in your native language:
https://www.youtube.com/timedtext_video?v=mZUdYu345dg
Watch my most recent upload: http://bit.ly/2OihAlj
Recommended links to learn more about DevOps for Machine Learning (MLOps):
The GitHub repo with the example code I used:
https://github.com/SaschaDittmann/MLOps-Lab
Azure DevOps:
https://azure.microsoft.com/en-us/services/devops/
Azure Machine Learning Service:
https://azure.microsoft.com/en-us/services/machine-learning-service/
Azure Machine Learning CLI Extension:
https://docs.microsoft.com/en-us/azure/machine-learning/service/reference-azure-machine-learning-cli
✅ For business inquiries contact me at CloudBlog@gmx.de
✅ Let’s connect:
Twitter: https://twitter.com/SaschaDittmann
Facebook: https://www.facebook.com/DataDrivenDev
Instagram: https://www.instagram.com/saschadittmann/
LinkedIn: https://www.linkedin.com/in/saschadittmann
GitHub: https://github.com/SaschaDittmann
DISCLAIMER: This video and description contains affiliate links, which means that if you click on one of the product links, I’ll receive a small commission. This helps support my channel and allows me to continue making awesome videos like this. Thank you for the support!
#MLOps #DevOpsForMachineLearning #AzureML
Sascha Dittmann shows us how to get started with DevOps for Machine Learning (MLOps) on Microsoft Azure in this first in a series of videos.
In the first video of this 5-part series, you’ll discover how to create an Azure DevOps project, import sample machine learning code and create a DevOps pipeline to process simple Data Quality Checks.I use services like Azure DevOps and Azure Machine Learning Services for this challenge.
Jon Wood shows us how to use AutoML in a Python Jupyter notebook from Azure ML Services.
Notebook – https://github.com/jwood803/AzureMLExamples/blob/master/AutoML.ipynb
Azure ML Playlist – https://www.youtube.com/playlist?list=PLl_upHIj19Zy88ptd0MQdkxUBb0022-EK
Are you curious how data scientists and researchers train agents that make decisions?
Learn how to use reinforcement learning to optimize decision making using Azure Machine Learning. We show you how to get started.
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Building forecasts is an integral part of any business, whether it’s revenue, inventory, sales, or customer demand.
Building machine learning models can be a time-consuming and complex with many factors to consider, such as iterating through algorithms, tuning your hyperparameters and feature engineering.
These choices multiply with time series data, with additional considerations of trends, seasonality, holidays and effectively splitting training data.
Forecasting within automated machine learning (ML) takes these factors into consideration and includes capabilities that improve the accuracy and performance of our recommended models.
This session will highlight the forecasting features of Automated ML and how to leverage them.
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In the first of a 3-part series focused on the Bot Framework, this episode looks at how the Bot Framework now makes it easier than ever to develop incredible engaging experiences in Microsoft Teams.
This is Part 2 of a four-part series that breaks up a talk that Seth Juarez gave at the Toronto AI Meetup. (Watch Part 1)
Index:
The Bot Framework Composer is an integrated development tool for developers and multi-disciplinary teams to build bots and conversational experiences with the Microsoft Bot Framework.
In this episode of AI show, Seth Juarez is joined by Vishwac Sena Kannan, Program Manager for Bot Framework to introduce and demo Bot Framework Composer. Visit https://aka.ms/BotFrameworkComp to get started.
Index:
[00:47] – Introduction and overview
[01:45] – Demo – Creating a new bot with Bot Framework Composer
[02:25] – Walkthrough – local bot runtime
[03:30] – Demo – triggers, actions
[05:06] – Language generation integration
[06:08] – Sample bot with Language understanding (LUIS)
[09:00] – Handling interruptions
[11:10] – Wrap up
In this episode, you’ll see how drift in data can be detected using machine learning in the Azure Machine Learning service.
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