How active learning can train machine learning models with less data

  • Random sampling: the data points are sampled at random.
  • Uncertainty sampling: Points are selected based on the ML model’s prediction uncertainty of their class.
  • Entropy sampling: Points are selected with maximal class probability entropy.
  • Margin sampling: Points are chosen for whom the difference between the most and second most likely classes are the smallest.
  • The probabilities in these strategies are associated with the predictions of the SVM classifier.

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Mind Foundry

Mind Foundry

Mind Foundry is an Oxford U. Company. Operating at the intersection of innovation, research, and usability we empower teams with AI built for the real world.

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