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machine-learning

Thanks for reading. Here you will find a huge range of information in text, audio and video on topics such as Data Science, Data Engineering, Machine Learning Engineering, DataOps and much more. The show notes for “Data Science in Production” are also collated here.

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Recent Blogs

Azure OpenAI vs OpenAI: What's the Difference?
Written by Gavita Regunath and Anna Wykes TL;DR: Azure OpenAI Service provides a safe and...
Simplifying Machine Learning Deployment with Azure’s Managed Endpoints
This blog post was written jointly by Gavita Regunath, Principal Data Scientist at Advancing...
10 reasons why Azure Databricks for Machine Learning Rocks!
The world of machine learning is constantly evolving, and businesses today face many...
Partnering with Dataiku: Enhancing Our Data Science and Machine...
Advancing Analytics are thrilled to announce that we have teamed up with Dataiku, the platform...
Maximising Customer Value with 360 View and Machine Learning
We all know the phrase "customer is king"— it's all about putting the customer at the centre...
Data and AI Summit 2022 ML Announcements
With 5000 in-person attendees and 60,000 online attendees at the Data and AI Summit 2022...
Get Started with Clustering: The Easy Way
How does clustering work, and why is it so important for businesses? This article provides a...
10 Incredibly Useful Clustering Algorithms
In the previous article, we explained how clustering, an unsupervised machine learning method,...
Opening the eyes of the machine: Computer vision with AutoML (Part 1)
By Gavita Regunath and Dan Lantos Automated Machine Learning, or AutoML, has gained a lot of...
The No-Code Road to Churn Prediction
For any service company that bills on a recurring basis, a key variable is the rate of churn....
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    Azure OpenAI vs OpenAI: What's the Difference?

    What's in a name? Naming your Fabric artifacts

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