2019

In a recent blog, I described the American Psychiatric Association’s Diagnostic and Statistical Manual of Mental Disorders as an ontological reference.  I explained how this… Read More »Event Conceptualization & Distribution Modelling

You can always learn a lot from the papers presented at NeurIPS There is some good analysis already on the web. From Chip Huygen –… Read More »NeurIPS 2019 – analysis of papers by themes

Predictive analytics, prescriptive analytics and the fairly recent offshoot– discovery analytics– can all support business decision making. Although the three tools are very similar in… Read More »Predictive Analytics vs Prescriptive Analytics in one picture

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… Read More »A Majority of Data Scientists Lack Competency in Advanced Machine Learning Areas and Techniques

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… Read More »Reimagining Reinforcement Learning – Upside Down

  AI and the future of work is a major topic of discussion Most views on this subject are negative More broadly, the negative impact… Read More »AI and the future of work: Will Artificial Intelligence make us all into Polymaths in the future?

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… Read More »Predictive Analytics Techniques in One Picture

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… Read More »Top NLP Algorithms & Concepts