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Data Mining and Machine Learning

Modules:

  • Data Mining: Prof. Golfarelli - 36h

    • introduction to data mining
    • Knowledge discovery process
    • Understanding and preparing data
    • Data mining techniques
    • Data understanding and validation
    • Weka software
    • Case studies analysis

  • Machine Learning: Prof. Guido Borghi - 18h

    • Introduction to AI
    • Machine Learning and Deep Learning
    • Data acquisition and Processing
    • Model Training
    • Metrics
    • LIBRARIES:
      • Scikit-learn (ML)
      • Tensofrflow (DL)

Assessment Method - EXAM

The exam consists in an oral exam on all the subjects (80%) of the course and an elaborate (20% - agreed with the teacher).

The elaborate must be carried out in the Machine Learning module, choosing between:

  • Study and algorithm among those in the literature
  • Analysis of a data set with mining techniques

There are no fixed dates for the exam, it can be defined with teachers along the whole academic year. The two modules must be discussed within 15 days.

Last update: January 3, 2023 21:27:50
Created: September 20, 2022 07:06:21
Authors: Francesca Neri