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Automated Machine Learning: How do teams work together on an AutoML project?

KDnuggets

In this use case, available to the public on GitHub, we’ll see how a data scientist, project manager, and business lead at a retail grocer can leverage automated machine learning and Azure Machine Learning service to reduce product overstock.

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Cloud Data Science 4

Data Science 101

Microsoft DP-100 Certification Updated – The Microsoft Data Scientist certification exam has been updated to cover the latest Azure Machine Learning tools. Azure SDK January 2020 Updates – The SDK now includes preview support of the Text Analytics capabilities from Cognitive Services. Courses/Learning.

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In-person data science bootcamps are returning to Data Science Dojo

Data Science Dojo

” -DSD- Nothing can compare to Michael Jordan’s announcement in 1995 that he was returning to the NBA, but for Data Science Dojo (DSD), this comes close. In 2020, we had to move our in-person Data Science Bootcamp curriculum to an online format.

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Cloud Data Science News #2

Data Science 101

2020 is now in full swing and the announcements are starting to show up. Data Drift Monitoring for Azure ML Datasets Azure ML now provides monitoring for when your data changes (called data drift). Upcoming Online ML/AI Conference, AWS Innovate A free, online conference hosted by Amazon Web Services.

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Azure Open AI with Power Apps

Mlearning.ai

Let’s build a Power App to use Azure Open AI for various use cases. Submission Suggestions Azure Open AI with Power Apps was originally published in MLearning.ai What’s needed. You can see it in the sky at night.nJupiter is the third brightest thing in the sky, after the Moon and Venus.n", mi) and a mass of about 1.4 solar masses.[3]

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AIOps vs. MLOps: Harnessing big data for “smarter” ITOPs

IBM Journey to AI blog

Wearable devices (such as fitness trackers, smart watches and smart rings) alone generated roughly 28 petabytes (28 billion megabytes) of data daily in 2020. AIOPs refers to the application of artificial intelligence (AI) and machine learning (ML) techniques to enhance and automate various aspects of IT operations (ITOps).

Big Data 106
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The NLP Cypher | 03.14.21

Towards AI

medium.com Talking about PyTorch… Basic Tutorials An awesome introduction to PyTorch showing an end-to-end ML pipeline from loading your data all the way to saving a trained model, includes a Colab notebook: Learn the Basics – PyTorch Tutorials 1.8.0 You can store images as big as 100k by 100k! Keep shape of each sample dynamic.