Warning: Please be aware that these videos are a snapshot, and as such may use an outdated version of the tutorial and/or Galaxy. Below the video you will find links to the tutorials as they appeared at the time of recording.
Warning: Please be aware that these videos are a snapshot, and as such may use an outdated version of the tutorial and/or Galaxy. Below the video you will find links to the tutorials as they appeared at the time of recording.
Introduction to Machine Learning
Below are video tutorials for this GTN material, created for various (past) events.Lecture Video (February 2021)
| Description: | The lecture explains introductory concepts in machine learning such as supervised and unsupervised learning, classification and regression, hyperparameter optimisation, cross-validation, train, test and validation sets. |
| Length: | 15 minutes |
| Captions: | Anup Kumar |
| Created: | 15 February 2021 |
| Materials: | |
| Support: |
