Mathematics of Machine Learning Projects M2 MAPI3 (Paul Sabatier, 2025-2026)

Important

• Send me an email with your chosen project and the members of your group (one email per group) with the following object : [MAPI3 2025 ML PROJECTS]

Evaluation

• Practical Projects: Choose a challenge from Challenge Data and propose a solution using machine learning techniques. Evaluation will be based on:
  • Your 15 minutes presentation AND code.
  • Problem-Solving Skills: Effectiveness in addressing the chosen challenge.
  • Technical Implementation: Quality and rigor of the machine learning methods used.
  • Presentation Quality: Clarity, organization, and accessibility of the presentation to classmates.
  • Engagement: Ability to engage the audience and facilitate understanding.
  • Mathematical Highlight: Include at least one mathematical highlight to emphasize important mathematical concepts or techniques relevant to the project.
• Theoretical Projects: Explore an advanced ML topic, analyze recent research, and present your findings. Evaluation will be based on:
  • Your 15 minutes presentation and other resources that you wish to share (such as code).
  • Depth of Understanding: Thoroughness in exploring the topic and current research.
  • Critical Analysis: Quality of analysis and critique of different approaches.
  • Clarity of Presentation: Logical structure, use of visual aids, and accessibility to classmates.
  • Presentation Quality: Ability to explain complex concepts in an understandable manner.
  • Engagement: Effectiveness in engaging the audience and fostering interest in the topic.
  • Mathematical Highlight: Include at least one mathematical highlight to emphasize important mathematical concepts or techniques relevant to the topic.

In Class Sessions

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Students - Projects mapping

Theoretical Projects

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