https://github.com/toelt-llc/summer-lectures-unipa-toelt

https://github.com/toelt-llc/summer-lectures-unipa-toelt

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• Host: GitHub
• URL: https://github.com/toelt-llc/summer-lectures-unipa-toelt
• Owner: toelt-llc
• Created: 2024-07-11T11:55:56.000Z (4 months ago)
• Default Branch: main
• Last Pushed: 2024-08-03T13:39:06.000Z (3 months ago)
• Last Synced: 2024-08-03T14:47:13.754Z (3 months ago)
• Language: Jupyter Notebook
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  • Readme: README.md

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README

        
# Summer Lectures UNIPA / TOELT

PhD degree: Biodiversity in Agriculture and Forestry - Summer Lectures – 17-18 July 2024

Hosted by Prof. Dr. Riccardo Lo Bianco

# Agenda

## Day 1 (17 July 2024) 3 hours

- “Introduction to machine learning, terminology, types of

machine learning, what “learning” means, intuitive

understanding of the gradient descent algorithm” – 09:30 – 10:30

- “Model validation“ – 10:30 – 11:10

- Pause – 11:10 – 11:30

- “Unbalanced Datasets and Metrics” 11:30 – 12:30

## Day 2 (18 July 2024) 3 hours

- “Introduction to Neural Networks” - 09:30 – 10:30

- Pause – 10:30 – 10:50

- “Introduction to Python, Jupyter Notebooks,

development environments, best practices, etc.” – 10:50 – 11:30

- “Application of machine learning to food quality control:

examples for olive oil, maize and wine” 11:30 – 12:30

# Fruther Reading Material

- **Introduction to learning**: Chapter 1, Michelucci, Umberto. Applied Deep Learning with TensorFlow 2. Springer, Berlin, Germany, 2022.

- **Terminology**: Chapter 2, Michelucci, Umberto. Fundamental Mathematical Concepts for Machine Learning in Science. Springer, 2024.

- **Gradient Descent**: Section 3.9, Michelucci, Umberto. Fundamental Mathematical Concepts for Machine Learning in Science. Springer, 2024.

- **Model Validation**: Chapter 7, Michelucci, Umberto. Fundamental Mathematical Concepts for Machine Learning in Science. Springer, 2024.

- **Unbalanced Datasets**: Chapter 8, Michelucci, Umberto. Fundamental Mathematical Concepts for Machine Learning in Science. Springer, 2024.

- **Introduction to Neural Networks**: Chapter 1, Michelucci, Umberto. Applied Deep Learning with TensorFlow 2. Springer, Berlin, Germany, 2022.

- **An introduction to Keras**: Appendix A, Michelucci, Umberto. Applied Deep Learning with TensorFlow 2. Springer, Berlin, Germany, 2022.