Index

A

• abstraction / Structured features
• accuracy (ACC) / Optimizing the precision and recall of a classification model
• activation functions, for feedforward neural networks
  • selecting / Choosing activation functions for feedforward neural networks
  • logistic function recap / Logistic function recap
  • probabilities, estimating in multi-class classification via softmax function / Estimating probabilities in multi-class classification via the softmax function
  • output spectrum, broadening with hyperbolic tangent / Broadening the output spectrum by using a hyperbolic tangent
• AdaBoost / Leveraging weak learners via adaptive boosting
  • about / Applying boosting methods
• adaline
  • about / First steps with scikit-learn
• adaptive boosting
  • weak learners, leveraging via / Leveraging weak learners via adaptive boosting
• adaptive boosting (AdaBoost) / Adaboost
• ADAptive LInear NEuron (Adaline) / Solving regression for regression parameters...