In the real world, not every dataset we work on has a target variable. This kind of data cannot be analysed using supervised learning algorithms. In such scenarios, we need the help of unsupervised learning. One of the most popular types of analysis under unsupervised...
Join Zindi data scientist and experienced hackathon competitor Stephen Kolesh for a walkthrough of Zindi (https://zindi.africa/signup), a competitive data science platform that will host the IAIO practical challenge. Learn how to sign up, explore our existing...
Kernel methods enable more powerful non-linear functions to be estimated using linear methods through the use of the so-called kernel trick. The lecture will introduce the principles behind this approach through the examples of kernel ridge regression and kernel...
