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Parsey McParseface

May 13, 2016 By editor

Personally I think that the UK’s National Environment Research Council (NERC) missed a trick in ignoring the results of their own public poll when naming their new polar research vessel.

The poll results where overwhelmingly in favour of naming the vessel RRS Boaty McBoatface. Unfortunately, ministers went for the much safer fourth-placed option of naming it after beloved nature broadcaster Sir David Attenborough.

In terms of engaging the public with science, every time RRS Boaty McBoatface was mentioned by the media people would have paid attention. Instead the message is “So much for democracy.”—reinforcing the opinion many people hold about politics today.

However, NERC’s loss is Google’s gain. They’ve named a component of their TensorFlow open source machine intelligence framework “Parsey McParseface”. Parsey McParseface is a pre-trained parser for English text.

I’m not likely to forget that now, am I?

Filed Under: Machine learning Tagged With: Google, neural network, TensorFlow, text parser

The problem with spreadsheets

May 9, 2016 By editor

A 2014 report by the Aberdeen Group includes the results of a survey asking what people found most challenging about spreadsheets. The biggest reported challenge was version control issues.

At least people are becoming aware of the problems—even if they are still failing to address them.

One statement in the report that depresses me is

…Best-in-Class organizations are 40% more likely than All Others to have enterprise software that has an interface that mirrors the look and feel of spreadsheets.

My guess is that this is correlation, not causality. But it’s indicative of a perspective that plagues the software industry. Most software is just a copy of something else. Very few people sit down and attempt to build efficient user interfaces.

There are off-the-shelf components for building grids and everyone knows how to use a spreadsheet, so let’s build something that looks like a spreadsheet. That’s how the argument goes.

However, a spreadsheet isn’t a particularly efficient interface. It benefits from the fact that we’ve all been trained in how it works, but this preexisting knowledge drags down true innovation.

Grids of numbers require interpretation. If I’m in front of a computer, I don’t want to have to think about numbers. That’s why I bought the computer. Software developers need to learn how to deliver insights—not data.

Filed Under: Data analysis, Web development

Confrontation between Trump and GOP

May 6, 2016 By editor

I was discussing the chaos within the US Republican party with a colleague today. House Speak Paul Ryan, the highest ranking Republican, says he can’t currently endorse his party’s presumptive presidential nominee—Donald Trump.

Extraordinary!

I built a simple confrontation analysis model of the standoff between Trump and “his” party.

confrontation between the GOP and Donald Trump

It doesn’t look good for the Republican establishment.

Trump faces no dilemmas. He’s not required the backing of the establishment so far and seems to feed off their attacks on him. Sure, their money will be important to his presidential campaign, but will they withhold it and let Hillary romp home—as Trump uses his platform to blame them for her success?

The GOP, in contrast faces two dilemmas. Obviously, they’ll struggle to persuade Trump to adopt their values. He’s been attacking many of them throughout his campaign. Secondly, and possibly more fundamental, they face a self persuasion dilemma. Can a party so divided, with their voters showing strong support for Trump, really withhold endorsements?

Canute holding back the tide comes to mind.

Filed Under: Confrontation analysis Tagged With: GOP, Trump

Designing a data strategy

May 2, 2016 By editor

Learning Tree just published my article on why it’s important to think carefully about the data and techniques employed in data-driven decision-making.

Throwing machine learning at existing data doesn’t cut it.

Filed Under: Data analysis, Data science Tagged With: strategy

Introduction to Microsoft R Open and Microsoft R Server

May 1, 2016 By editor

Familiar with R and wondering what Microsoft R Open and Microsoft R Server bring to the table? Then check out Lixun Zhang’s article.

Filed Under: Data analysis, Data science Tagged With: Microsoft R Open, Microsoft R Server, MRO, MRS, R

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