• 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