FONDAMENTI DI ANALISI DATI E LABORATORIO

Learning Objectives

• FONDAMENTI DI ANALISI DATI

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

• Laboratorio

  The objective of the course is the acquisition of knowledge of:

  • Practical tools for the management and analysis of data;
  • Tools for data visualization and exploration;
  • Help the understanding of theoretical concepts and models through the implementation of algorithms and/or the analysis of existing implementations;
  • Practical methodologies to train and use machine learning and data analysis algorithms to build automated systems for decision support;
  • Tools to produce reports detailing a data analysis process.

Course Structure

• FONDAMENTI DI ANALISI DATI

  Frontal lectures in classroom

• Laboratorio

  Laboratory lectures

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

• Laboratorio

  The objective of the course is the acquisition of knowledge of:

  • Practical tools for the management and analysis of data;
  • Tools for data visualization and exploration;
  • Help the understanding of theoretical concepts and models through the implementation of algorithms and/or the analysis of existing implementations;
  • Practical methodologies to train and use machine learning and data analysis algorithms to build automated systems for decision support;
  • Tools to produce reports detailing a data analysis process.

Textbook Information

• FONDAMENTI DI ANALISI DATI

  Tutorial on line, handsout

• Laboratorio

  Teacher's handouts.