TurinTech
AI.Optimised.
Image by LTD EHU from Pixabay

Imbalanced data is a common problem in machine learning, which brings challenges to feature correlation, class separation and evaluation, and results in poor model performance. In this article, we will introduce:

  • Imbalanced data in practice
  • Three challenges with imbalanced data
  • Top 6 data sampling techniques
  • Sampling techniques comparison
  • Python code…

Scaling AI means 4S: Scale, Speed, Scope and Sustainability.

This Earth Day, we spotlight on Green AI.

Scaling AI requires energy-efficient models to minimise ⚡️computing cost and 🌳environmental cost. EvoML automatically optimises AI models at code level to achieve optimal Energy Efficiency, without compromising accuracy or other business metrics.

This…

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