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Advent of 2024, Day 9 – Microsoft Azure AI – Speech SDK with Python

In this Microsoft Azure AI series: Besides Python Speech SKD there are multiple languages supported with Speech SDK. Python SDK will expose you many of the Speech service capabilities for developing speech-enabled applications. Ideal for scenarios for (near) real-time and

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Posted in Azure AI

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 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

Advent of 2022, Day 14 – Registering the models

In the series of Azure Machine Learning posts: Important asset is the “Models” in navigation bar. This feature allows you to work with different model types -> custom, MLflow, and Triton. What you do here is, you register a model

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Posted in Azure Machine Learning, Uncategorized

Advent of 2022, Day 13 – Automated ML

In the series of Azure Machine Learning posts: Automated ML is a no-code automated machine learning task. It iterates over many combinations of algorithms and hyperparameters in order to find the best model for your dataset and your prediction variable(s).

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Posted in Azure Machine Learning, Uncategorized

Advent of 2022, Day 12 – Creating jobs

In the series of Azure Machine Learning posts: An Azure ML job executes a task against a specified compute target. This is also how the job is created. By configuring a new job, you can also scale out model training,

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Posted in Azure Machine Learning, Uncategorized

Advent of 2022, Day 11 – Creating Pipelines with Python SDK

In the series of Azure Machine Learning posts: A pipeline is set of instructions (or a workflow) for executing particular work of a machine learning task. The idea behind pipelines is that will help the team of data scientists and

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Posted in Azure Machine Learning, Uncategorized
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