There are many ways to compare two samples of data and measure their similarity. The Kolmogorov-Smirnov Test, the Jensen-Shannon Distance the Chi-squared Test, to name a few... But how do you choose the best Univariate Drift detection method for your hashtag#MachineLearning Model? Join us for a webinar next Thursday as Wojtek Kuberski deep-dives into the topic. It will be split into a conceptual part (including theory, advantages & shortcomings) about each method, and a practical part!