Week 5 review
A short summary articel of week 5 of Experimental design for machine learning - practical tips and tricks.
Congratulations on completing the Week 5 of the course, the final week.
Before we wrap up the course, here’s a quick recap of the main topics we covered in the final week, on tips and tricks:
- hardware and software
- NVIDIA graphics cards and CUDA
- Google Colab
- Windows or Linux (or both!)
- writing and reading machine learning papers – what should be included?
- use of preprint servers – e.g. Arxiv
- engaging with computer science – gaining and sharing expertise between disciplines.
In the final video, we will wrap up the course overall, and provide a link to a short practical activity which demonstrates an example deep learning model, an image classifier that identifies plant species.
This article is from the online course:
Experimental Design for Machine Learning
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