• Linear Model

    Linear Model

    Gauss & Markov
  • Likelihood

    Likelihood

    Fisher
  • model of a single neuron Source

    model of a single neuron Source

    Mc Culloch Pitt
  • logistic regression

    logistic regression

    Berkson
  • neural learning

    neural learning

    Donald heb
  • artificial intelligence

    artificial intelligence

    John McCarthy
  • Perceptrons

    Perceptrons

    Rosenblatt
  • Adaline

    Adaline

    Widrow & Hoff
  • Ridge regression

    Ridge regression

    Hoerl & Kennard
  • SVR

    SVR

    Vapnik
  • kNN

    kNN

    Thomas Cover
  • Xor Problem

    Xor Problem

    Minsky & Papert
  • Multi-layered Perceptron

    Multi-layered Perceptron

    Rumelhart & Hinton & Wiliams
  • Lasso

    Lasso

    Santosa
  • SVM

    SVM

    Vapnik & Cortes
  • Random Forests

    Random Forests

    Tin Kam
  • Elastic net regularization

    Elastic net regularization

    Zou
  • GAMLSS

    GAMLSS

    Rigby
  • Deep Neural Network (Pretraining)

    Deep Neural Network (Pretraining)

    Hinton & Ruslan