In the last few blog posts of this series discussed regression models at length. Fernando has built a multivariate regression model. The model takes the… Read More »Data Science Simplified Part 9: Interactions and Limitations of Regression Models
Data & Analytics have become main-stream. Executives and their boards are increasingly starting to question whether their organizations are truly realizing the full value of… Read More »Data and Analytics; Don’t Trust Numbers Blindly
Abstract – Big data helps to make strategy for future and understand user behaviors. In 1959, Arther Samuel gave very simple definition of Machine Learning as “a… Read More »Machine Learning in Fintech – Demystified
This article was written by Roger Strukhoff and Sophie Turol. A scary rate of IoT data growth: The Internet of Things (IoT) is covering the gamut of industries:… Read More »AI as a Catalyst Across Most Cycles of the IoT
Here a list of resources, mostly in the form of tutorials, covering most important topics in data science: This resource is part of a series on… Read More »Comprehensive Repository of Data Science and ML Resources
Summary: In the first part of this series we described the basics of Reinforcement Learning (RL). In this article we describe how deep learning is… Read More »Reinforcement Learning Part 3 – Challenges & Considerations
Pictographs are exceptionally good for some types of data. In this post, I show how useful they are for displaying proportions (e.g. rates, percentages, fractions).… Read More »Where Pictographs Beat Bar Charts: Proportional Data
These days, many organisations have begun to develop their own knowledge graphs. One reason might be to build a solid basis for various machine learning… Read More »A Standard to build Knowledge Graphs: 12 Facts about SKOS
Will Artificial Intelligence make subject matter experts obsolete? Imagine you want to build an application that helps to identify wine and cheese pairings. Who will… Read More »Why Cognitive Systems should combine Machine Learning with Semantic Technologies
Data Science and Law are in a lot of ways vastly different; however they do have a few things in common: both professions rely heavily… Read More »Judgements: A Potential Threat To Models Everywhere
