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Stochastic processes have many applications, including in finance and physics. It is an interesting model to represent many phenomena. Unfortunately the theory behind it is very difficult, making it accessible to a few 'elite' data scientists, and not popular in business contexts.
One of the most simple examples is a random walk, and indeed easy to understand with no mathematical background. However, time-continuous stochastic processes are always defined and studied using…Continue
Added by Vincent Granville on December 27, 2017 at 11:30am — No Comments
Here is our new selection of articles and resources recently posted:Continue
Added by Vincent Granville on December 15, 2017 at 3:30pm — No Comments
Summary: Here are our 6 predictions for data science, machine learning, and AI for 2018. Some are fast track and potentially disruptive, some take the hype off over blown claims and set realistic expectations for the coming year.
It’s that time of year again when we do a look back in order to offer a look forward. What trends will speed up, what things will actually happen, and what things won’t in the coming year for data science, machine…Continue
Added by Vincent Granville on December 14, 2017 at 3:00pm — No Comments
Here is our selection of featured articles recently posted:
Added by Vincent Granville on December 9, 2017 at 1:42pm — No Comments
Summary: As a profession we do a pretty poor job of agreeing on good naming conventions for really important parts of our professional lives. “Machine Learning” is just the most recent case in point. It’s had a perfectly good definition for a very long time, but now the deep learning folks are trying to hijack the term. Come on folks. Let’s make up our minds.
As a profession we do a pretty poor job of agreeing on good naming conventions for…Continue
Added by Vincent Granville on December 7, 2017 at 2:41pm — No Comments
Here is our selection of featured articles and resources posted recently:
Added by Vincent Granville on December 2, 2017 at 1:47pm — No Comments