Author: Data Science Central

Feed: Featured Blog Posts - Data Science Central. Author: Krishna Pera. ... continued from previous article. Image Source: Creating a Real Life Version of Psychohistory from Isaac Asimov’s Foundation Series -: Indiana University THE LOST ART OF DECISION MAKING: DECISION-DRIVEN BEFORE DATA-DRIVEN The logical first-step obviously was to list down all the decisions taken in the company.  We very quickly discovered there has never been any documented list of decisions in the company. We then, made an attempt at informally discussing with some of the senior managers in different departments. The conversations were all similar, if not same. Summary below ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Vincent Granville. I described here a strange type of function, that is nowhere continuous but relatively easy to integrate using probabilistic arguments. I call it the fractional part of parameter p of a function g(x), and it is denoted as g(x, p). We focus here on g(x) = exp(x). It is obtained by removing a number of terms (usually infinitely many) in the Taylor series of g(x). For instance, by removing all terms associated with an odd exponent. Examples based on g(x) = exp(x) are provided below, and explained in details in ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Emmanuelle Rieuf. This article was posted by Ingrid Daubechies on Quanta Magazine. Ingrid is the James B. Duke Professor of Mathematics and Electrical and Computer Engineering at Duke University. She served as president of the International Mathematical Union from 2011 to 2014. Machine learning works spectacularly well, but mathematicians aren’t quite sure why. At a dinner I attended some years ago, the distinguished differential geometer Eugenio Calabi volunteered to me his tongue-in-cheek distinction between pure and applied mathematicians. A pure mathematician, when stuck on the problem under study, often decides to narrow the ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Emmanuelle Rieuf. This article was posted by Adam Geitgey. Adam is Interested in computers and machine learning and he likes to write about it. Speech recognition is invading our lives. It’s built into our phones, our game consoles and our smart watches. It’s even automating our homes. For just $50, you can get an Amazon Echo Dot — a magic box that allows you to order pizza, get a weather report or even buy trash bags — just by speaking out loud: Alexa, order a large pizza! The Echo Dot has been so popular this holiday season that Amazon can’t ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Vincent Granville. These are not business questions, but soft questions that should make any PhD candidate relaxed, even intrigued, and open to talk freely. There is no wrong answer, these are open questions, but some answers could hint that the candidate is still in his/her PhD bubble, feeling superior, not flexible, and unable to see the big picture behind the apparently innocent question. These questions were asked discretely, none of the responders knew about my PhD mathematical background.  Author of this article I've posted them on Quora, Reddit, and other platforms ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Vincent Granville. Monday newsletter published by Data Science Central. Previous editions can be found here.  The contribution flagged with a + is our selection for the picture of the week. Featured Resources and Technical Contributions Infinite Data Sets with Known Distribution - to Benchmark Statistical Tests (Read last section) + Data Dictionary to Meta Data II - Simple Text Wrangling and Factor Creation in R How to do Speech Recognition with Deep Learning  Big Data’s Mathematical Mysteries  Machine Learning with C++ - Polynomial Regression (CPU) Unsupervised Learning an Angle for Unlabelled Data World Question: ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Krishna Pera. Image Source: Creating a Real Life Version of Psychohistory from Isaac Asimov’s Foundation Series -: Indiana University THE LOST ART OF DECISION MAKING: DECISION-DRIVEN BEFORE DATA-DRIVEN The logical first-step obviously was to list down all the decisions taken in the company.  We very quickly discovered there has never been any documented list of decisions in the company. Then we made an attempt at informally discussing with some of the senior managers in different departments. The conversations were all similar, if not same. Summary below – Everyone believes they take ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Dan Somers. Background For people working in Artificial Intelligence, the term “Human-in-the-Loop” is familiar i.e. a human in the process to validate and improve the AI. There are many situations where it applies, as many as there are AI applications. However. there are still some distinct different ways it can be deployed even within the same application. Contact Center Example Let’s take for example the automation of a contact center. A customer submits a ticket which is fielded by a Helpdesk Agent who triages and routes the ticket to the appropriate ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Goran Dragosavac. Analysis-paralysis - sounds familiar?  Almost, as if you are driving on ice, engine is loud, wheels are spinning - but you not really moving forward. Here are strategies that may help you dealing with this serious data science condition: Realize that chasing perfection is chasing shadows. And simply stop doing it! Accept that perfect model is unattainable and even if you get it – it is most likely to be perfectly useless as it apply only for very narrow segment of your population. Ensure that you have success criteria ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: James Mason. Statistical Analysis is a way of collecting, presenting and exploring large amounts of data in order to discover underlying patterns and trends. It can be especially useful in banking, manufacturing or retail where knowing the future patterns might greatly benefit the businesses. Not without reason, it resembles and can cooperate with blockchain - a new tech that consists of great numbers of blocks that contain the full history of every transaction performed - all within easy reach and as long as the network exists. First uses of the blockchain ... Read More