Welcome to the website of the Inmas Workshop on Data Science 2021. This website contains links and files to all relevant content of the workshop.
This course is designed to provide a glimpse at modern computational approaches for the analysis of data sets. We cover the concepts of supervised learning and unsupervised learning and illustrate the usage of some popular methods in these frameworks by the means of popular toolboxes in Python.
As many data sets that are encountered in practice are inherently high-dimensional, we aim to gain intuition about the geometry of high-dimensional spaces and distributions, and shed light on computational aspects of some of the covered methods.
As a preparation for the workshop, we encourage you to complete the pre-work before the first session on Friday, March 19.
This workshop will use practice exercises that will make use of the Python language, which is widely used for data science and machine learning due its property as a general purpose programming language and its modularity, which has attracted the development of a variety of powerful libraries.
The most relevant libraries we will use are: