Mark Niemann-Ross, Author at Mark Niemann-Ross

In Praise of the Dirty Protype

I’m working on my irrigation system. This requires a controller to turn it on and off. Cheap controllers are just timers. More expensive controllers factor in the current weather and avoid watering the garden during a rainstorm. Very expensive controllers (weather-based irrigation controllers) look at weather forecasts to avoid irrigating the garden when a rainstorm is going to happen in the next few days.

I’m satisfied with simple timers, but I forget to bring them in before freezing weather. They freeze, they break. Time to buy a new timer.

I’d like to be more sophisticated about my watering schedule. And I have all these Raspberry Pi and electronics parts laying around the house. It’s time to put together a Raspberry Pi Powered irrigation system with look-ahead scheduling based on the actual water needs of my plants. That’s a lot of technology to put together and get to work reliably.

The Imperfection of Language

Human languages are notoriously ambiguous. Computer languages are notoriously un-ambiguous. Humans (mostly) are comfortable with uncertainty. Computers don’t even believe uncertainty is possible. It’s what led us to create un-ambiguous languages specifically for computers.

One morning, I shot an elephant in my pajamas. How he got in my pajamas I don’t know.”
Groucho Marx

Integrating Computer Vision with NLP

My new car displays the highway speed limit. It’s a small reproduction of a speed limit sign, located on the upper left corner of the display. Which isn’t such a big deal, considering map data has included speed limits for the last ten years.

But I had a surprise when I was driving on a rural back road. It was twisty and in the middle of the forest. I was preoccupied with trying to avoid the deer springing out of the ditches, but noticed the speed limit had changed to eighty-five miles per hour. What?

Master AI-powered Sentiment Analysis

You sent me the wrong version of the Excaliber Coffee Pot. Your company constantly makes mistakes with shipping. I hate doing business with you!

I just wanted to tell you I received my Excaliber Coffee Pot today. It is exactly what I expected and needed. I can’t thank you enough!

Consider these two pieces of feedback from customers, sent via the contact form on a company’s website. One is from an unhappy customer – and one is from a satisfied customer. Both are regarding shipping the Excaliber Coffee Pot. An astute product manager (we’ll call her “Sarah”) would follow up: why is this customer happy (or sad)? Would this customer recommend this product to (or warn) their friends? Would this customer shop with us again?

A Guide to Natural Language Processing with R

Let’s assume you’re reading this for one of three reasons:

You have experience with R, but not NLP
You have experience with NLP, but not R
You have no idea what this is all about, but someone said you need this for some reason. (Perhaps a thesis advisor? A data scientist? A trendy article?)

Let’s start with two brief explanations you can use to orient yourself in this new world.

Beyond One World and One Species

Millennia of diaspora from Old Home Terra would almost certainly produce any number of subvariants of humanity including genetically engineered transhumans and cyborgs. Consider not “the” future of humanity but “the futures” of humanity. Save for a common heritage distant in time, they might be alien species. What might that be like?

Crappy Science Fiction

Good science fiction shows us strange new worlds and futures we haven’t considered. It introduces us to new technologies like tablets and genetic manipulation, as well as new societies like The Handmaid’s Tale and Stranger in a Strange Land. It helps us consider worlds outside of our experience.

AI for Business, Internet, and Theft

Remember your TI-30? Great little calculator. Pricey, but handheld, and did amazing things. Push the right buttons and it gives the answers to complex problems without lookup tables … and with greater precision than a pencil or slide rule.

It trashed what everyone assumed was the skill to be a mathematician. Math teachers working from twenty-year-old textbooks declared the scientific calculator the enemy of all that was holy and good. How would students know how to use engineering tables to look up a log or sin? Imaginative doomsayers predicted the apocalypse when batteries ran dry, leaving engineering students without their electronic crutch and no ability to fall back on the trusty slide rule. Wise sages told us the calculator heralded the end of America’s dominance of technology.

In hindsight – not true. We overestimate short-term impact but underestimate the long-term.