The Open Data Science Conference: The best Machine Learning and Data Science conference in the world. Learn what it is with our review!
In this post, we will compare what for us are three of the best books to learn Machine Learning in 2021. Which one will win?
Naive Bayes Explained: A simplification of the Bayes Theorem for Machine Learning applications. Learn all about it with this article!
Learn the keys to evaluating Machine Learning models and improving their performance with this great article!
Learn about the Lift Curve in Machine Learning, a great metric to asses the performance of our classification algorithms 👈
Learn all about ROC in Machine Learning, one of the best ways to discover the performance of classification algorithms!
Learn all the detail about the Bayes Theorem calculation process for Machine Learning applications with a great and easy example!