Monthly Archives: December 2022

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

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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

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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

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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

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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

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Posted in Azure Machine Learning, Uncategorized

Advent of 2022, Day 18 – Statistical analysis, plotting graphs and feature engineering

In the series of Azure Machine Learning posts: Azure Machine Learning is also a great tool to do ordinary statistical analysis, graph plotting and everything that goes along. Let’s get an open dataset, that is available on UCI Machine Learning repository

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Posted in Azure Machine Learning, Uncategorized

Advent of 2022, Day 17 – Building responsible AI dashboard with Python SDK

In the series of Azure Machine Learning posts: Responsible AI is an approach to assessing, developing, and deploying AI systems in a safe, trustworthy, and ethical manner, and take responsible decisions and actions (source: Responsible AI toolbox is available at

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Posted in Azure Machine Learning, Uncategorized

Advent of 2022, Day 16 – MLflow in action with xgboost

In the series of Azure Machine Learning posts: Yesterday we have looked into how to start the MLflow configurations and today, let’s put this to the test. We will create a new notebook and use Heart dataset (link to dataset)

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Posted in Azure Machine Learning, Uncategorized

Advent of 2022, Day 15 – Getting to know MLflow

In the series of Azure Machine Learning posts: MLFlow is an open-source framework for registering, managing and tracking machine learning models. It is multiplatform, bringing consistent model training and model consumption across different platforms. This means, that training a model

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Posted in Azure Machine Learning, Uncategorized
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