Method selection

Overview

Teaching: 0 min
Exercises: 0 min

Questions

• How can I build on existing work?

• What resources/infrastructure should I consider?

• Is machine learning suitable for my project?

Objectives

• First learning objective. (FIXME)

Building on existing knowledge

With existing code bases, downloading and using tools that exist on github is more and more valuable in the scientific community.

• What previous projects exist in this institute
• What do we know already from the broader community
• What is the added value of the project in hand

Is ML and AI suitable for my project?

(((Work on this with Fede in preparation for the AI presentation)))

• How to assess if ML and AI applies to my work

Resource requirement (storage, hosting and archiving)

• What is available in the organisation
• What services/resources we need from outside (RSE, HPC, Cloud infra, DSH)
• Technical training for people working on the project

Conclusion

• What gaps have we filled in this section
• Project management overview
• Reproducible environment

Resources for taking this to next level

• ​​https://the-turing-way.netlify.app/collaboration/new-community.html

Key Points

• First key point. Brief Answer to questions. (FIXME)