FONDAMENTI DI ANALISI DATI E LABORATORIO

Learning Objectives

• FONDAMENTI DI ANALISI DATI

  Basic introduction to state of the art data analysis and automated classification.

• Fundamental of Data Analysis

  Basic introduction to state of the rt data analysis and automated classification.

Course Structure

• FONDAMENTI DI ANALISI DATI

  Frontal lectures in classroom

  Modalities may change if requirtement by objective conditions (COVID 19)

• Fundamental of Data Analysis

  Live lecture in presence (whenver possible)
  Interactive labs.
  

Detailed Course Content

• FONDAMENTI DI ANALISI DATI
  • Fundamental of Data Analysis

    Data visualization, descriptive statistics

    regression and correlation. Logistic regression.

    Bayes approach to learning. MAP.

    TS, CS, trainign and generalization error. Confuson matrix. ROC.

    LDA, SVM.

    Kernel trick: non linear SVM

    PCA, non linear techniques for dimension reduction

    K-nn

    CART.

    Clustering: k-means and hierarchical clustering.

    Ensblem techniques. Boosting

• Fundamental of Data Analysis

  Data visualization, descriptive statistics

  regression and correlation. Logistic regression.

  Bayes approach to learning. MAP.

  TS, CS, trainign and generalization error. Confuson matrix. ROC.

  LDA, SVM.

  Kernel trick: non linear SVM

  PCA, non linear techniques for dimension reduction

  K-nn

  CART.

  Clustering: k-means and hierarchical clustering.

  Ensblem techniques. Boosting

Textbook Information

• FONDAMENTI DI ANALISI DATI

  a) Chapters from: Pattern Recognition and Machine Learning (Information Science and Statistics) Bishop C.M: Editore: Springer, 2007

  b) Chapters from:Python for Data Analysis: Data Wrangling with Pandas, Numpy, and IPython (Inglese) W.Mckinney O'reilly 2017

  Tutorial on line, handsout

• Fundamental of Data Analysis

  Teacher's handouts

  Chapters from:Python for Data Analysis: Data Wrangling with Pandas, Numpy, and IPython (Inglese) W.Mckinney O'reilly 2017

  Jupyter notebooks