The field of data science has experienced a renaissance due to innovations in algorithms and widespread availability of affordable storage and compute capabilities. As a consequence, the growing, global stream of data has emerged as a significant economic factor.

Nonetheless, many companies struggle to make use of their data. A significant reason for this is a lack of experience in organizing data and software as well as managing a data science team in a collaborative setting.

This course sets off, where most data science courses end. It addresses technical and organizational challenges that are typically accompanied by operating data-driven software products in “production”.

In this context, the course aims to provide solutions for the aforementioned challenges. This includes toolkits and architectures that:

- render the management of data science projects more efficient
- allow for versioning of data, software and runtime environments, in order to ensure
   reproducibility of data-driven systems
- improve collaboration and knowledge transfer among members of a larger data science team
- facilitate the deployment of data-driven products

To attend the course / exercise, registration via e-learning platform OLAT is required. Registration is possible from 2 – 27 September 2024. The students themselves are responsible for checking the creditability of the course to their course of study.

Direct link to OLAT course: https://lms.uzh.ch/url/RepositoryEntry/17577443356

The Hundred-Page Machine Learning Book (Andriy Burkov)