January 21, 2020
How to Calculate the Distance Between Probability Distributions

How to Calculate the KL Divergence for Machine Learning

It is often desirable to quantify the difference between probability distributions for a given random variable. This occurs frequently in machine learning, when we may be interested in calculating the difference between an actual and observed probability distribution. This can be achieved using techniques from information theory, such as the Kullback-Leibler Divergence (KL divergence), or […]

Machine Learning: Value For Business

Machine learning (ML) algorithms allows computers to define and apply rules which were not described explicitly by the developer. There are quite a lot of articles devoted to machine learning algorithms. Here is an attempt to make a “helicopter view” description of how these algorithms are applied in different business areas. This list is not […]