Machine learning in finance: Why, what & how
Machine learning in finance may work magic, even though there is no magic behind it (well, maybe just a little bit). Still, the success of machine learning project depend...
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Firms can save time and cost with Deep learning methodologies!
The rise in Machine Learning, Deep Learning and Artificial Intelligence technologies seems to breaking all barriers. All these technologies have the potential to spur inn...
All about Mixed Reality
What is the mixed reality? We have heard about virtual reality and augmented reality. As the name suggests, the mixed reality is something that has features of both augme...
From Strategy to Implementation – Planning an AI-First Company
Summary: Our recent series of articles on AI strategies shows the options available for the strategic direction of your AI-first company. Here are some thoughts on mo...
New Directions in Cryptography
Updated on August 12. See new section entitled “Future research on the topic.” Here I propose an alternative to traditional cryptography. Traditional cryptogr...
From Strategy to Implementation – Planning an AI-First Company
Summary: Our recent series of articles on AI strategies shows the options available for the strategic direction of your AI-first company. Here are some thoughts on mo...
Machine Learning with C++ – Classification with Dlib
Dlib is an open source C++ framework containing various machine learning algorithms and many other complementary stuff which can be used for image processing, computer vi...
How you can stay up to date with your #AI and #MachineLearning knowledge
Andrew Ng is a great fan of reading research papers as a long term investment in your own study (On Life, Creativity, And Failure about Andrew Ng). Anyone who has work...
5 major sensor data analytics challenges: deadly or curable?
A smoothly running sensor data analytics tool may be just as difficult to manage as a symphony orchestra. Because every musician in an orchestra – and every part of an ...
Is Model Bias a Threat to Equal and Fair Treatment? Maybe, Maybe Not.
New article by Bill Vorhies. 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 g...