We make a compilation of the news of this week 43 in Damavis: New post in the Blog and the latest news in Social Networks.
This week, Jun De Wu, Data Scientist at Damavis, tells us briefly about the mathematical basis behind Principal Component Analysis (PCA).
PCA is a mathematical method that belongs to the unsupervised learning methods (we do not have a target variable with labels) and one of its functions is to extract useful information from the original variables. This helps us to simplify further analysis such as the representation of the data in two or three dimensions.
Read the full article here:
Seen on networks
During these days, we have shared in our networks the release of Scikit-learn 1.0, a new Tuesday Quiz about Machine Learning and how we have celebrated Halloween at Damavis. We tell you all about it below.
New version of Scikit-learn
The popular Python library for Machine Learning has recently released a new version, Scikit-learn 1.0.
This week we asked our community which supervised Machine Learning problems they prefer and these were the answers:
Halloween comes to Damavis
Very soon we will publish a new interview with one of our team members: Joan Martín, Head Data Engineer and also co-founder of Damavis. Until then, we invite you to see the summary of week 42 in case you missed it and to visit the Damavis Team category of our blog to meet the rest of the team.