Articles about: Machine Learning

What is feature importance?   One of the key aspects in the process of creating a machine learning (ML) model is selecting appropriate, relevant features. In the process of assessing the input variable’s relevance, feature importance comes very handy. The goal of this process is to score each of the input variables. The higher the […]

Data from 89% of healthcare organisations have been stolen in the past two years due to cyberattacks. As many as 81% of the cybersecurity-related incidents in healthcare result from employees’ negligence. Patient health records can be sold on the black market for as much as USD 363, which is higher than a cost of any […]

In the previous paper, I presented how MLOps supports the implementation of ML (machine learning) systems. The following text builds on one of the practices previously outlined, i.e. monitoring. Below I will attempt to answer three questions:  Why is the monitoring of production models so important, and what are the possible consequences of lack thereof?  What are […]

Over the past few years, an increasing number of business data processing projects have emerged, due to which we are seeing an accelerated development of analytical tools. Data equips us with valuable knowledge, and knowledge provides us with a competitive advantage. A growing number of organizations understand the value that data analytics provides and opt […]