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Pradyumna S. Upadrashta's Blog (8)

We will all be out of work! (...and that is a good thing!)

There are a lot of unjustified fears of the day when robots will take over our jobs.  It is a fad in the data science community to think that the day will come soon when computers will take over the role of the data scientist, making them obsolete.  I should point out that if/when this happens, that will be the day when all of us will be out of work, not just the data scientists. 

Weak A.I. changes nothing.  Strong A.I. changes everything.

That said, we should…

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Added by Pradyumna S. Upadrashta on March 5, 2017 at 1:00pm — 1 Comment

Machine Learning, Data Science, and Unicorns

Machine Learning is really about mirroring data, and mirroring it in a way that sometimes approximates the thing that generates the data -- the real world process and its statistical footprints. If we make incorrect assumptions about the data, we are…

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Added by Pradyumna S. Upadrashta on January 7, 2017 at 2:30pm — No Comments

Growth in Insights vs. Growth in Big Data

I randomly ran into this old thread of Vincent's in DSC regarding Moore's law and its applicability to how we might think about the growth of insights relative to the growth of our data. I took a humble crack at it. No idea if i'm…

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Added by Pradyumna S. Upadrashta on February 20, 2015 at 12:16pm — 3 Comments

Defense Against the Dark Arts: 3Vs? 4Vs?

Throw them all out I say.  Big Data is really just defined by one letter, D, Dimensionality.  

(Or, at most, 2…

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Added by Pradyumna S. Upadrashta on February 14, 2015 at 1:00pm — 1 Comment

Big Data or Not Big Data: What is <your> question?

Before jumping on the Big Data bandwagon, I think it is important to ask  the question of whether the problem you have requires much data.  That is, I think its important to determine when Big Data is relevant to the problem at hand.

The question of relevancy is important, for two reasons: (i) if the data are irrelevant, you can't draw appropriate conclusions (collecting more of the wrong data leads absolutely nowhere), (ii) the mismatch between the problem statement, the…

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Added by Pradyumna S. Upadrashta on February 13, 2015 at 2:30am — 12 Comments

Decision Scientist vs. Data Scientist

Someone asked a question in a LinkedIn forum on the distinction…

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Added by Pradyumna S. Upadrashta on February 11, 2015 at 3:30pm — 10 Comments

Is Hans Zimmer secretly a Super Data Scientist?

Crafting The Score: The Dark Knight - The Sound of Anarchy

Hans Zimmer asks the question: "What if I could define a character in one note?"

He spends his days running "experiments" and processing "Big Data" (the imaginary world painted in the film's script, his cultural and artistic background, etc.) using the distributed neuronal network architecture of his innate biological computer and extracts…

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Added by Pradyumna S. Upadrashta on January 15, 2015 at 11:30pm — No Comments

A visual solution to a problem of constraints.

Here is an interesting problem to play with in your down time.  I will post the solution soon, when I get a moment to update this blog.

There are five houses in a row, each of a different color, that are inhabited by five people of different nationalities, with different pets, favorite drinks, and favorite sports. Use the clues below to determine who owns the monkey…

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Added by Pradyumna S. Upadrashta on November 11, 2013 at 7:30am — 2 Comments

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