This section contains a series of articles aimed to introduce some fundamental concepts from Machine Learning and Natural Language Processing.
I started writing these articles as I went through the excellent Machine Learning and Pattern Recognition course taught at the University of Edinburgh by prof. Iain Murray and Dr. Arno Onken. As such, the organisation of concepts into articles, and many of the articles themselves, closely follow that course.
If you find this content helpful, or have any constructive feedback, I would highly appreciate letting me know 🙂.
- 1 Linear Regression
- 2 Generalisation
- 3 Gradient-based Optimisation (coming soon ⏳)
- 4 Bayesian Linear Regression
More coming soon ⏳