Predictive analytics, prescriptive analytics and the fairly recent offshoot– discovery analytics– can all support business decision making. Although the three...
Ontologies and Semantic Annotation. Part 1: What Is an Ontology In the abundance of information, both machines and human researchers need tools to navigate and process it...
This article was written by Bob Hayes. Data science requires the effective application of skills in a variety of machine learning areas and techniques. A recent survey by...
Summary: For all the hype around winning game play and self-driving cars, traditional Reinforcement Learning (RL) has yet to deliver as a reliable tool for ML applicati...
AI and the future of work is a major topic of discussion Most views on this subject are negative More broadly, the negative impact of technology has been highlighted b...
Predictive analytics is a wide field of techniques that share a common goal of predicting future behavior. Choosing the right prediction modeling method is perhaps the mo...
Today, one of the most popular tasks in Data Science is processing information presented in the text form. Exactly this is text representation in the form of mathematical...
Since data is now omnipresent, it has become critical for any business looking to not only remain competitive but also stay far ahead of the curve, to properly leverage t...
This post is the third one of a series regarding loops in R an Python. The first one was Different kinds of loops in R. The recommendation is to use different kinds of lo...
Thinking of data science as merely a technical profession, like programming, may take you away from your goals. Focusing on the usability of mathematics for data science ...