In the field of machine learning, the evaluation of classification model performance is a critical aspect. Lift, a well-regarded metric, plays an essential role in this evaluation, especially in contexts such as targeted marketing and fraud detection. This article aims to provide a detailed overview of calculating and interpreting Lift ...

Clustering Clustering is one of the most popular applications of machine learning. It is actually the most common unsupervised learning technique. When clustering, we are usually using some distance metric. Distance metrics are a way to define how close things are to each other. The most popular distance metric, by ...

Wanna become a data scientist within 3 months, and get a guaranteed job? Then you need to check this out ! This year I had the chance to teach Social Media Analytics at the Cyprus International Institute of Management. Social media analytics is not really recognised as an independent field. It is ...

Wanna become a data scientist within 3 months, and get a guaranteed job? Then you need to check this out ! Genetic algorithms: A bit of history Genetic algorithms used to be a very popular branch of algorithms during the 90s early 00s. Genetic algorithms used to be one of the cornerstones ...

Wanna become a data scientist within 3 months, and get a guaranteed job? Then you need to check this out ! Linear regression is without question the most famous statistical algorithm. It is often the first algorithm that is being taught in machine learning courses and it is surprisingly effective in a ...

Wanna become a data scientist within 3 months, and get a guaranteed job? Then you need to check this out ! This post continues the series of posts on performance measures. In our previous article we talked about Cohen’s Kappa. In this post we will talk about the concordance correlation coefficient. ...

Introduction In the era of big data, organizations across various industries are harnessing the power of data science to gain valuable insights. Integration and differentiation, which are foundational concepts in calculus, serve as powerful tools for analyzing and interpreting complex datasets. By applying integration and differentiation techniques, data scientists can ...