In this Microsoft SQL Server 2025 series: After short introduction into the sp_invoke_external_rest_endpoint we will look into creating a REST endpoint for using LLM. Deploy LLM model In your Azure tenant, go to Azure AI Foundry and deploy a model…
Blog Archives
Advent of 2025, Day 11 – SQL Server 2025 – External REST endpoint invocation using LLM
Tagged with: ai, API, API Calls, artificial-intelligence, LLM, SQL Server, sql server 2025, technology
Posted in Azure AI, Azure Machine Learning, SQL Server, Uncategorized
Posted in Azure AI, Azure Machine Learning, SQL Server, Uncategorized
DeepSeek R1 on Azure AI Foundry
Starting with the end of January 2025, DeepSeek R1 model has had a huge impact on how the AI community, developers and general public see Generative Models. Not only that is free (as of writing this blog post), but the…
Tagged with: ai, artificial-intelligence, Azure, Azure AI, Azure AI Foundry, cloud, LLM, machine learning, Microsoft
Posted in Azure AI, Azure Machine Learning
Posted in Azure AI, Azure Machine Learning
Data science with Microsoft Fabric – Plotting ROC curve and distribution of scores
ROC (Receiver Operation Characteristics) – curve is a graph that shows how classifiers performs by plotting the true positive and false positive rates. It is used to evaluate the performance of binary classification models by illustrating the trade-off between True…
Tagged with: ai, artificial-intelligence, data science, Distributions, Fabric, machine learning, Microsoft Fabric, Python, R, Spark
Posted in Azure Machine Learning, Fabric, R, Spark
Posted in Azure Machine Learning, Fabric, R, Spark
Advent of 2023, Day 13 – Creating ML Model with Microsoft Fabric
In this Microsoft Fabric series: Yesterday, we created an MLFlow experiment and today we will look into creating an ML model. Create a new ML model, and give it a name. You will have the option to select the following:…
Tagged with: Azure, Conda, Data engineering, data science, Fabric, Microsoft Fabric, Power BI, Python
Posted in Azure Machine Learning, Fabric, Spark
Posted in Azure Machine Learning, Fabric, Spark
Advent of 2022, Day 24 – Further reading and code material for Azure Machine Learning
In the series of Azure Machine Learning posts: If you want to immerse in further reading and additional knowledge, here are some links. Here are just couple. Microsoft Learn website: Github: There are great GitHub repositories with great end-to-end solutions.…
Posted in Azure Machine Learning, Uncategorized
Advent of 2022, Day 23 – Working with R
In the series of Azure Machine Learning posts: This post is super short 😦 R language and Azure Machine Learning SDK for R was deprecated a year ago (end of 2021). But R can be still used for training and…
Tagged with: Azure, Azure Machine Learning, machine learning, Machine Learning Studio, ML Studio, R
Posted in Azure Machine Learning, Uncategorized
Posted in Azure Machine Learning, Uncategorized
Advent of 2022, Day 22 – Batch endpoints for batch scoring
In the series of Azure Machine Learning posts: Batch endpoints are a great and simple way to run inference over large volumes of data. They simplify the process of hosting your models for batch scoring. We will import the needed…
Tagged with: Azure, Azure Machine Learning, Jupyter Notebook, machine learning, Machine Learning Studio, ML Studio, predictive models
Posted in Azure Machine Learning, Uncategorized
Posted in Azure Machine Learning, Uncategorized
Advent of 2022, Day 21 – Using Azure Machine Learning terminal
In the series of Azure Machine Learning posts: Using Azure CLI can help you progress faster, make repetitve tasks automated and even use the GIT integration, for faster and better collaboration. So we have created a YAML file on Day20…
Tagged with: Azure, Azure Machine Learning, Jupyter Notebook, machine learning, Machine Learning Studio, ML Studio, predictive models
Posted in Azure Machine Learning, Uncategorized
Posted in Azure Machine Learning, Uncategorized
Advent of 2022, Day 20 – Handling kernels, python packages, YAML files in notebooks and keeping structure and good practices
In the series of Azure Machine Learning posts: When creating notebooks, it is always a good way to have the dependencies included. Whether it is a particular version of a package, a separate script file or an installation requirement. Selecting…
Tagged with: Azure, Azure Machine Learning, Jupyter Notebook, machine learning, Machine Learning Studio, ML Studio, predictive models
Posted in Azure Machine Learning, Uncategorized
Posted in Azure Machine Learning, Uncategorized
Advent of 2022, Day 19 – Statistical analysis and ML comparison of prediction models
In the series of Azure Machine Learning posts: Yesterday we have shown, that statistical analysis and all bolts and whistles can be done super simple in Azure machine learning. Today we will continue with feature engineering and modelling. So, what…
Tagged with: Azure, Azure Machine Learning, Jupyter Notebook, machine learning, Machine Learning Studio, ML Studio, predictive models, Python SDK
Posted in Azure Machine Learning, Uncategorized
Posted in Azure Machine Learning, Uncategorized
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