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Category Archives: data science

Lead your own data science projects with the 3 Ps

September 9, 2016

There’s a lot of literature on learning the technical aspect of data science: statistics, machine learning, data munging, big data. …

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Best practices for logging computational systems in R and Python

July 7, 2016

As is the case with most quant software, it’s a bit different from run-of-the-mill software. The somewhat prosaic world of …

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How to write good tests in R

June 30, 2016

Testing is an often overlooked yet critical component of any software system. In some ways this is more true of …

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Modeling data with functional programming – State based systems

May 19, 2016

UPDATE: This draft is obsolete. Please see latest draft at I’m pleased to announce the availability of my latest chapter …

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Using Occam’s Razor to solve genius math puzzles

March 4, 2016

Math puzzles always tickle the brain, and this one has tickled quite a few on LinkedIn. Why are these puzzles …

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Is deep learning a Markov chain in disguise?

February 23, 2016

Andrej Karpathy’s post “The Unreasonable Effectiveness of Recurrent Neural Networks” made splashes last year. The basic premise is that you …

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Making AI More Human: How To Give A Sales Pitch As A Technical Talk

February 19, 2016

I had the pleasure of seeing Gary Marcus give his talk “Making AI More Human” at the NYC Machine Learning …

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7 Ways to Perplex a Data Scientist

February 2, 2016

On the heels of a report showing the inefficacy of government-run cyber security, it’s imperative to understand the limitations of …

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Big data in ranching and animal husbandry

January 20, 2016

Another big part of the food supply comes from ranches and farms that raise and slaughter various livestock. While ranching …

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Big data in agriculture (DDW2.1)

January 5, 2016

The Data-Driven Weekly is kicking off 2016 by exploring how big data and analytics is powering data-driven business in different …

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