Linear regression (machine learning)

Andrew Murphy ◉ et al.

Linear regression in machine learning is a form of supervised learning, derived from the linear regression models in statistics. It operates under the assumption that two variables have a linear relationship, therefore, can calculate the value of an output variable based on the input variable. Linear regression is often referred to as a predictive model.

Artificial intelligence

artificial intelligence (AI)
i maging data sets
computer-aided diagnosis (CAD)
machine learning (overview)
- machine learning processes
- machine learning models
common data preparation/preprocessing steps
- DICOM to bitmap conversion
- scaling
- centering
- normalization
- principal component analysis
- training, testing and validation datasets
- augmentation
- loss function
  - mean squared error
  - cross entropy
- optimization algorithms
  - stochastic gradient descent
  - momentum (Nesterov)
  - ADAM
- regularisation
  - linear and quadratic
  - batch normalization
- ensembling
  - boosting
  - bagging
- natural language processing
- rule-based expert systems
glossary

Article information

rID: 57103

Section: Artificial Intelligence

Synonyms or Alternate Spellings:

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