Nobody has doubts about the importance for humankind of the PANINI sticker album for the FIFA World Cup. From a mathematical point of view, several interesting questions arise. How much money do they need to spend? How many other collectors do they need to interact with? What if a sticker pack had 6 stickers instead of 4? Rodralez, from LABSIN developed an app for answering these and other questions [3min read].
The idea of making art with code is not new, but what about Data? Can data be a work of art? Well, the truth is that thanks to conceptualism, it is possible. Trust me! [4min read]
DVC provides the elements for managing machine learning pipelines using git repositories as a backend. If you use git for tracking your machine learning experiments, you will feel comfortable with DVC.[9min read]
Notebooks rule! We agree on that, but they can get messy very fast. The truth is they are not the best tool for good software engineering practices. Data Version Control (DVC) is a toolset for helping the development of machine learning experiments favoring better practices. Are you ready to give it a try? [5min read]
We can not continue treating our models as black boxes anymore. Remember, nobody trusts computers for making a very important decision (yet!). That's why the interpretation of Machine Learning models has become a major research topic. SHAP is a very robust approach for providing interpretability to any machine learning model. For multi-classification problems, however, documentation and examples are not very clear. [8min read]
