Stories by Sonja Georgievska on Medium
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The hidden dangers of using XAI carelessly

Congrats! Your ML model is finally XAI-ready. But before you start patting yourself on the back, have you pre-processed your features? If so, watch out for those SHAP values, they might have been “processed”, tooMind the gap. Photo by Sammie Chaffin on UnsplashA very desirable property of machine learning models is explainability. This means being able...

Thu Feb 23, 2023 12:07
Reusable software in the era of AI: why sometimes you must reinvent the wheel

In traditional software development, reinventing the wheel is a cardinal sin. But AI has changed the picture. In AI-based software development the traditional reusable components, like data aggregation, are only the beginning. What about the actual AI pipeline, can we make that reusable? Should we want to invest our time in reusable AI?Reusable components....

Fri May 13, 2022 10:50
Reusable AI-based software: why sometimes you must reinvent the wheel

In traditional software development, reinventing the wheel is a cardinal sin. But AI has changed the picture. In AI-based software development the traditional reusable components, like data aggregation, are only the beginning. What about the actual AI pipeline, can we make that reusable? Should we invest our time in reusable AI?Reusable components....

Thu May 12, 2022 11:24
Small-scale initiative in Machine Learning 2021: how did it go?

Photo by "My Life Through A Lens" on UnsplashIntroducing a series of blog posts on our collaborative projects in machine learningBy Sonja Georgievska and Jisk AttemaIn the last decade, the machine learning field has seen exponential growth, owing mostly to the success of its subfield “deep learning”, based on deep neural networks. The latter build on...

Fri Jan 28, 2022 13:18
Machine learning: when it is easy & when it is difficult

A crash course in machine learning; only high-school level of math is required before reading.Photo by Element5 Digital on UnsplashMachine learning (ML) is about having the computer learn how to convert input into output (or to make predictions), based on sample data, known as training data. In this article, I’ll introduce you to the basics of ML, and...

Thu Jun 18, 2020 12:10
AI will not steal your job. Here’s why

AI won’t steal your job. Here’s whyForget about “responsible AI” for a moment. Data, not AI, is the product, and it needs rigorous quality control.You have probably heard the story of a neural network that learned to recognize images of horses by “looking” for a copyright tag that happened to be associated with horse pictures, rather than learning to...

Sun Mar 15, 2020 17:07

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