Machine Learning Flashcards

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1
Q

Why machine learning?

A
  • computer aided diagnosis
  • disease prognosis
  • risk assessment
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2
Q

fundamental concepts

A
  • unsupervised learning (clustering)
  • supervised learning (classification, regression)
  • reinforcement learning (rewards and punishments)
  • semi-supervised learning (few labeled examples, many unlabeled)
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3
Q

unsupervised learning

A
  • find patterns

- clustering

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4
Q

supervised learning

A
  • classification (predict discrete responses)

- regression (predict continuous responses)

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5
Q

CAD pipeline

A
  • image aquisition
  • preprocessing
  • feature extraction
  • classification
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