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Vincent Granville's Blog (669)

Data Science is Changing, Data Scientists must Adapt – Here’s Why and How

Summary:  Deep changes are underway in how data science is practiced and successfully deployed to solve business problems and create strategic advantage.  These same changes point to major changes in how data scientists will do their work.  Here’s why and how.

What’s Happening Now

Advanced analytic platforms are undergoing several evolutionary steps at once.  This is the final buildout in the current competitive…

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Added by Vincent Granville on January 16, 2018 at 12:00pm — No Comments

Great Sunday Reading

Here is our selection of new articles and resources featured in the last few days:

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Added by Vincent Granville on January 14, 2018 at 9:35am — No Comments

Beautiful Number Theory Problem and Sandbox for Data Scientists

The Waring conjecture - actually a problem associated with a number of conjectures, many now being solved - is one of the most fascinating mathematical problems. This article covers new aspects of this problem, with a generalization and new conjectures, some with a tentative solution, and a new framework to tackle the problem. Yet it is written in simple English and accessible to the layman.

I also review a number of famous related mathematical conjectures, including one with a $1…

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Added by Vincent Granville on January 10, 2018 at 6:00pm — No Comments

Great Sunday Reading

Here is our first "Sunday Reading" list of the year, featuring an unusually large number of high quality articles and technical resources posted in the last few days:

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Added by Vincent Granville on January 7, 2018 at 10:00am — No Comments

Digital Twins: Machine Learning & AI

Summary:  Digital Twins is a concept based in IoT but requiring the skills of machine learning and potentially AI.  It’s not completely new but it is integral to Gartner’s vision of the digital enterprise and makes the Hype Cycle for 2017.  It’s a major enabler of event processing as opposed to traditional request processing.…

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Added by Vincent Granville on January 3, 2018 at 10:30pm — No Comments

First Newsletter of 2018

This edition contains some articles about 2018 predictions, a great article on adversarial networks (first link below), my recent article on stochastic processes (second link) and more:

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Added by Vincent Granville on January 1, 2018 at 10:02am — No Comments

A Simple Introduction to Complex Stochastic Processes

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…

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Added by Vincent Granville on December 27, 2017 at 11:30am — No Comments

Great Friday Reading

Here is our new selection of articles and resources recently posted:

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Added by Vincent Granville on December 15, 2017 at 3:30pm — No Comments

6 Predictions about Data Science, Machine Learning, and AI for 2018

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…

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Added by Vincent Granville on December 14, 2017 at 3:00pm — No Comments

Great Saturday Reading

Here is our selection of featured articles recently posted:

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Added by Vincent Granville on December 9, 2017 at 1:42pm — No Comments

Machine Learning – Can We Just Agree What This Means

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…

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Added by Vincent Granville on December 7, 2017 at 2:41pm — No Comments

Great Saturday Reading

Here is our selection of featured articles and resources posted recently:

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Added by Vincent Granville on December 2, 2017 at 1:47pm — No Comments

Great Saturday Reading

Here is our selection of featured articles and resources recently published:

Resources:

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Added by Vincent Granville on November 25, 2017 at 4:46pm — No Comments

High Precision Computing: Benchmark, Examples, and Tutorial

In some applications, using the standard precision in your programming language of choice, may not be enough, and can lead to disastrous errors. In some cases, you work with a library that is supposed to provide very high precision, when in fact the library in question does not work as advertised. In some cases, lack of precision results in obvious problems that are easy to spot, and in some cases, everything seems to be working fine and you are not aware that your simulations are completely…

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Added by Vincent Granville on November 19, 2017 at 9:30am — No Comments

Great Saturday Reading

Here is our selection of featured articles and resources posted in the last few days:

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Added by Vincent Granville on November 18, 2017 at 10:00am — No Comments

High Precision Computing in Python or R

Here we discuss an application of HPC (not high performance computing, instead high precision computing, which is a special case of HPC)  applied to dynamical systems such as  the logistic map in chaos theory. defined as X(k) = 4 X(k) (1 - X(k-1)). 

For all these systems, the loss of precision propagates exponentially, to the point that after 50 iterations, all generated values are completely wrong. Tons of articles have been written on this subject - none of them acknowledging the…

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Added by Vincent Granville on November 13, 2017 at 7:00pm — No Comments

Great Saturday Reading

Here is our selection of featured articles and resources posted in the last few days:

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Added by Vincent Granville on November 11, 2017 at 4:55pm — No Comments

Beginners Guide to Chatbots

Summary:  This is the first in a series about Chatbots.  In this first installment we cover the basics including their brief technological history, uses, basic design choices, and where deep learning comes into play.  In subsequent articles we’ll describe in more detail about how they are actually programmed and best practice dos and don’ts.…

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Added by Vincent Granville on November 8, 2017 at 1:30pm — No Comments

DSC Competition for Data Science and Quant Pros

Data Science Central (DSC) is excited to announce our competition to solve a new, interesting problem in statistical science, pertaining to stochastic processes. DSC members are invited and encouraged, to submit a theoretical solution or an application to real life problems, including but not limited to fintech, operations research, statistical science, computer science, economics, engineering, social, actuarial, biological or physical sciences.

The statistical process central to this…

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Added by Vincent Granville on November 8, 2017 at 12:00pm — No Comments

Fascinating Time Series with Cool Applications

Here we describe well-known chaotic sequences, including new generalizations, with application to random number generation, highly non-linear auto-regressive models for times series, simulation, random permutations, and the use of big numbers (libraries available in programming languages to work with numbers with hundreds of decimals) as standard computer precision almost always produces completely erroneous results after a few iterations  -- a fact rarely if ever mentioned in the scientific…

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Added by Vincent Granville on November 6, 2017 at 8:30pm — No Comments

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