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Featured Blog Posts – November 2017 Archive (73)

DSC Competition for Data Science and Quant Pros - $2,000 Award

Description of Contest

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…

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Added by Vincent Granville on November 8, 2017 at 10:00am — 1 Comment

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 William Vorhies on November 7, 2017 at 1:30pm — 2 Comments

Fascinating Chaotic Sequences 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 12:00pm — 7 Comments

Hacking the Autonomous Vehicle

I love it when I get feedback from a blog that I’ve written. I appreciate the different perspectives and insights that others bring to a topic of interest. 

The section of the blog that fueled the most comments stem from a scene in the movie I, Robot where Detective Spooner (played by Will Smith) is explaining to Doctor Calvin (who is responsible for giving robots human-like behaviors) why he distrusts and hates robots. He is describing an incident…

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Added by Bill Schmarzo on November 5, 2017 at 1:30pm — No Comments

Weekly Digest, November 6

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.

Announcements - U.S. Soccer

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Added by Vincent Granville on November 5, 2017 at 10:00am — No Comments

Quantitative Alienation in the Workplace

For my graduate paper, I studied perceptions of workplace stress through the critical lens of social disablement.  Writing this paper was certainly an intellectual exercise that at the time didn’t seem to have many practical applications.  I am therefore honoured to become better acquainted with the “mechanics” of quantitative alienation through my day-to-day duties.  I respect the fact that I can’t share any substantial details about my actual work processes on a blog.  It will therefore be…

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Added by Don Philip Faithful on November 4, 2017 at 8:30am — 1 Comment

Artificial Intelligence, Globalization and International Basketball

A strong declaration from a historically antagonist foe should put chills in the hearts of Americans preparing themselves for the world ahead: Russian President Vladimir Putin says the nation that leads in AI will be the ruler of the world  … The ruler of the world!

From the article (with some modification to avoid political landmines), we get the following:

“The development of artificial intelligence has increasingly become a national security…

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Added by Bill Schmarzo on November 4, 2017 at 6:00am — No Comments

Periodic Table of Binary Classification Performance Measures/Metrics

Binary classification is one of the most frequent studies in applied machine learning problems in various domains, from medicine to biology to meteorology to malware analysis. Many researchers use some performance metrics in their classification studies to report their success. However, the literature has shown a widespread confusion about the terminology and ignorance of the fundamental aspects behind metrics.

In our paper tittled "Binary Classification Performance…

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Added by Gürol Canbek on November 3, 2017 at 10:00am — 2 Comments

Nuts and Bolts of Building Deep Learning Applications: Ng @ NIPS2016

This article was written by Tomasz Malisiewicz.

You might go to a cutting-edge machine learning research conference like NIPS hoping to find some mathematical insight that will help you take your deep learning system's performance to the next level. Unfortunately, as Andrew Ng reiterated to a…

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Added by Amelia Matteson on November 3, 2017 at 10:00am — No Comments

How Big Data can Help Community Banks

Big Data tools not only simplify lengthy analytical procedures in any industry, but they also provide a competitive advantage to banks. With new regulations, banks are looking at ways to make compliance procedures more effective and accurate. Big Data in banking is slowly gaining momentum and becoming an inevitable necessity across the banking industry. As…

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Added by Deena Zaidi on November 2, 2017 at 11:00am — No Comments

3 Theorems on the Economic Value of Data

Since releasing the University of San Francisco research paper on “How to Determine the Economic Value of Your Data” (EvD), I have had numerous conversations with senior executives about the business and technology ramifications of EvD. Now with the release of Doug Laney’s “Infonomics” book that builds upon Doug’s EvD work at Gartner, I expect these conversations to intensify. In fact, I just traveled to Switzerland to discuss the potential business and technology…

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Added by Bill Schmarzo on November 1, 2017 at 11:00am — 5 Comments

A Comparative Roundup: Artificial Intelligence vs. Machine Learning vs. Deep Learning

This article was written by Paramita Ghosh

A 1969 McKinsey article claimed that computers were so dumb that they were not capable of making any decisions. In fact they said, it was human intelligence that drives the dumb machine. Alas, this claim has become a bit of a “joke” over the years, as the modern computers are gradually replacing…

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Added by Amelia Matteson on November 1, 2017 at 10:00am — No Comments

Risk is for Real if not Artificial Intelligence

Artificial Intelligence is the future of growth. There is sure to be at least one article in the newspaper/internet/blogs daily on the revolutionary advancements made in the field of Artificial Intelligence or its subfield disrupting standard industries like Fintech, Banking, Law, or any…

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Added by Vinod Sharma on November 1, 2017 at 8:30am — No Comments

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