Roger Noble

AI

Experimenting with MLFlow and Microsoft Fabric

Fabric Madness part 4 Roger Noble · Follow Published in Towards Data Science · 10 min read · 2 days ago — Image by author and ChatGPT. “Design an illustration, with imagery representing data experiments, focusing on basketball data” prompt. ChatGPT, 4, OpenAI, 15April. 2024. https://chat.openai.com. A Huge thanks to Martim Chaves who co-authored this post and developed the example scripts. It’s no secret that Machine Learning (ML) systems require careful tuning to become truly

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AI

Feature Engineering with Microsoft Fabric and Dataflow Gen2

Fabric Madness part 3 Roger Noble · Follow Published in Towards Data Science · 11 min read · 2 days ago — Image by author and ChatGPT. “Design an illustration, featuring a Paralympic basketball player in action, this time the theme is on data pipelines” prompt. ChatGPT, 4, OpenAI, 15April. 2024. https://chat.openai.com. In the previous post, we discussed how to use Notebooks with PySpark for feature engineering. While spark offers a lot of flexibility and

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AI

Feature Engineering with Microsoft Fabric and PySpark

Fabric Madness part 2 Roger Noble · Follow Published in Towards Data Science · 12 min read · 2 days ago — Image by author and ChatGPT. “Design an illustration, focusing on a basketball player in action, this time the theme is on using pyspark to generate features for machine leaning models in a graphic novel style” prompt. ChatGPT, 4, OpenAI, 4 April. 2024. https://chat.openai.com. A Huge thanks to Martim Chaves who co-authored this post

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