Aug 28, 2025 路 4 min read 路 When I first joined Cash Converters, the data science setup was pretty raw. There was no proper repository for training data or models. Just a few Python files and few pickled model. That was it. Reproducibility was non-existent. There was no way to ...
Join discussionJul 16, 2024 路 5 min read 路 Imagine a manufacturing floor where machines communicate seamlessly, processes run efficiently, and downtime is minimized. This vision is possible with Microsoft's Azure Services. As the manufacturing industry becomes increasingly competitive, levera...
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Nov 19, 2023 路 3 min read 路 What is MLflow? MLflow is an open-source platform for managing the machine learning lifecycle. It provides a set of tools and APIs tracking experiments, deploying models, and managing model versions. MLflow is provider agnostic and can be used with A...
Join discussionNov 17, 2023 路 3 min read 路 Training a model is an interactive and iterative process which requires fair bit of tuning and quite a lot of debugging. Ability to write, run and debug locally makes this process significantly faster. However, data that we use to train our models ha...
Join discussionOct 27, 2023 路 5 min read 路 Azure Machine Learning allows you to import data from your local machine or existing cloud-based storage resource into your workspace. In this post, we'll take a practical look at importing various data types, such as File, Folder and Table types. We...
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May 1, 2021 路 3 min read 路 Embarking on a machine learning project can feel like navigating a labyrinth of algorithms, each with its own strengths, assumptions, and ideal use cases. To demystify this process, Microsoft offers the Azure Machine Learning Algorithm Cheat Sheet, a...
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