Recurrent Neural Nets (RNN) detect features in sequential data (e.g. time-series data). Examples of applications which can be made using RNN’s are anomaly detection in...
The manufacturing industry is overwhelmed with the advent of machines, technology, and the internet. The fourth industrial revolution is set to make manufacturing more di...
All you need to know about machine learning, accessible using our data science search engine, covering hundreds of articles and tutorials: Deep Learning Machine Learnin...
What is the Intelligence Revolution equivalent to the 1/4” bolt? I asked this question in the blog “How History Can Prepare Us for Upcoming AI Revolution?” when t...
Bill is the Editorial Director for Data Science Central, and President and Chief Data Scientist at Data-Magnum, providing predictive analytics and big data infrastructur...
Summary: There is a great hue and cry about the danger of bias in our predictive models when applied to high significance events like who gets a loan, insurance, a good...
Sometimes when dealing with performance metrics, there are contradictory signals. For instance, although both are desirable, it is common for efficiency and efficacy to...
Summary: A major problem with chatbots is that they can only provide information from what’s in their knowledge base. Here’s a new approach that makes your chatbo...
TimeSeries.OBeu v1.2.2 release on CRAN We are very pleased to announce TimeSeries.OBeu v1.2.2 on CRAN! TimeSeries.OBeu is used on OpenBudgets.eu data mininig tool platfo...
What a weird question. That’s what you would have thought after reading the headline. Perhaps you thought the word “NOT” was accidental. Hmm, for past few years man...