Data mining and machine learning

Schema della sezione

• Seleziona sezione Description

  Description

  Minimizza tutto Espandi tutto

  in-person

  Ecotekne University Campus, Via Lecce-Monteroni, 73100 LE

  Building A, Seminar room, Ground floor

  Classroom location

  (hold down CTRL+left mouse button and click the Google Maps link)

  https://maps.app.goo.gl/R47PY17cBwZA4fXV9

  From July 7th to July 11th, 2025

  20 (in-person)

  Francesco Iarlori, Vittoria Mascellaro, Elena Grimaccia

  

  This intensive, week-long training course provides a comprehensive introduction to the use of Artificial Intelligence (AI) in environmental research and analysis. Participants will explore the foundational principles of AI and machine learning, with practical modules focused on supervised and unsupervised methods, model building, and real-world applications such as biodiversity monitoring, climate modeling, and remote sensing. The course also delves into critical ethical dimensions of AI, including data ethics, bias, surveillance, and regulatory frameworks like the AI Act. Designed for professionals and researchers, the course blends lectures, hands-on activities, and group work to equip participants with both technical skills and a critical understanding of AI’s role in environmental science.
• Seleziona sezione Day 1

  Day 1

  • Seleziona attività 1_Fundamentals of AI_Grimaccia

    

    1_Fundamentals of AI_Grimaccia File PDF
  • Seleziona attività 2_Machine learning algorithms for environmental analysis_An introduction_Grimaccia

    

    2_Machine learning algorithms for environmental analysis_An introduction_Grimaccia File PDF
  • Seleziona attività 3_Supervised and Unsupervised methodologies for environmental data_Grimaccia

    

    3_Supervised and Unsupervised methodologies for environmental data_Grimaccia File PDF
• Seleziona sezione Day 2

  Day 2

  • Seleziona attività 4_Data mining and machine learning-Day2

    

    4_Data mining and machine learning-Day2 File PDF
• Seleziona sezione Day 3

  Day 3

  • Seleziona attività 5_Data mining and machine learning - Day3

    

    5_Data mining and machine learning - Day3 File PDF
• Seleziona sezione Day 4

  Day 4

  • Seleziona attività 6_Data mining and machine learning - Day4

    

    6_Data mining and machine learning - Day4 File PDF
• Seleziona sezione Day 5

  Day 5

  • Seleziona attività 7_Data mining and machine learning - Day5

    

    7_Data mining and machine learning - Day5 File PDF