Machine Learning and Deep Learning Fundamentals

Welcome to the repository for the Machine Learning and Deep Learning Fundamentals workshop, organised by VIB.

This repository contains the materials for the interactive course, which is built using LiaScript, a platform for creating interactive educational resources.

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Course Overview

• Level: Beginner
• Target Audience: Researchers, training providers
• Duration: 2 days
• Prerequisites: Familiarity with Python (no prior machine learning experience required)

Schedule (summary)

Day 1

• Introduction to machine learning
• Regression
• Classification
• Model selection

Day 2

• Introduction to neural networks
• Deep neural networks
• Convolutional neural networks
• Advanced deep learning topics

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Access the Interactive Course

Launch the full interactive course in your browser using LiaScript:

Open in LiaScript

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Repository Structure

• course.md → Full LiaScript course source
• exercises/ → Jupyter notebooks and exercises
• supplementary/ → Slides and additional resources

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License

This material is released under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.

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Authors

• Jolan Heyse
• Bruna Piereck
• Alexander Botzki

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Additional Information

• For questions or contributions, please open an issue or submit a pull request.
• The interactive course is best viewed using modern browsers that support JavaScript.

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This README is intended for GitHub display only. All LiaScript macros and scripts are in course.md.