AI responsibility: Taming the algorithm
We’ve reached a point where human (cognitive) task performance is being leveraged or even replaced by AI. So who or what is responsible for what this AI does? While...
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Building Recurrent Neural Networks in Tensorflow
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...
Data Science and Machine Learning: Great List of Resources
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...
Driving AI Revolution with Pre-built Analytic Modules
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...
AI-Driven Sales | What Has Changed?
Sales Forecasting: Science or Instinct? Recently, we had talked about marketing automation, a digital transformation in the field that involved both artificial intelligen...
Bill Vorhies Retrospective: Part 3
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...
Is Model Bias a Threat to Equal and Fair Treatment? Maybe, Maybe Not.
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...
Reconciling Opposing Performance Metrics Using Operational Simulations
Sometimes when dealing with performance metrics, there are contradictory signals. For instance, although both are desirable, it is common for efficiency and efficacy to...
TimeSeries.OBeu v1.2.2 release on CRAN
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...
So, How Many ML Models You Have NOT Built?
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...