Xomnia is a word combining the letter ‘X’ – the unknown – and “Omnia” – Latin for everything. Our team of data scientists and big data engineers are trained to find the undefined – X – in all the relevant data sources – Omnia. This unknown – X – is untapped business value. Combining the X and Omnia you get the Xomnia spirit. Eager, curious and dedicated people, who have the belief that the future is big data.
Can you learn without a teacher? Computers can, a concept coined unsupervised learning in machine learning literature. For many real world problem, obtaining labels for a dataset can be very expensive, labour intensive and error prone, meaning that following a supervised approach is not practical. And sometimes just imitating human decision making isn’t enough: there may be hidden patterns in the data that add valuable insights.
This course covers the core concepts and algorithms of unsupervised learning. You will gain hands-on experience with applying basic unsupervised machine learning techniques in Python using scikit-learn. You will also learn about algorithms such as k-means, support vector machines, principal component analysis, and DBSCAN.
Requirements: The course requires basic knowledge of Python and pandas, and some basic concepts of machine learning.