If you’re a business executive (rather than a data scientist or machine learning expert), you’ve probably been exposed to the mainstream media coverage of artificial intelligence or AI. You’ve seen articles in …
The 7 Myths of AI
By Robin Bordoli
By Robin Bordoli
If you’re a business executive (rather than a data scientist or machine learning expert), you’ve probably been exposed to the mainstream media coverage of artificial intelligence or AI. You’ve seen articles in …
Added by Leena Kamath on September 29, 2016 at 9:30am — No Comments
Most academic papers and blogs about machine learning focus on improvements to algorithms and features. At the same time, the widely acknowledged truth is that throwing more training data into the mix beats work on algorithms and features. This post will get down and dirty with algorithms and features vs. training data by looking at a 12-way…
Added by Leena Kamath on September 23, 2016 at 12:00pm — 1 Comment
Training an AI Doctor
By Tyler Schnoebelen, August 17, 2016
Some of the earliest applications of artificial intelligence in healthcare were in diagnosis—it was a major push in expert systems, for example, where you aim to build up a knowledge base that lets software be as good as a human clinician. Expert systems hit their peak in the…
Added by Leena Kamath on August 17, 2016 at 12:30pm — 1 Comment
The gender of artificial intelligence
By Tyler Schnoebelen,
There’s Apple’s Siri, Microsoft’s Cortana, Amazon’s Alexa, and Nuance’s Nina. Sure, Facebook has “M”, Google has “Google Now”, and Siri’s voice isn’t always that of a woman. But it does feel worth noting that (typically male-dominated) engineering groups routinely give women’s names to the things you issue commands to. Is artificial…
Added by Leena Kamath on July 14, 2016 at 9:21am — 1 Comment
By Tyler Schnoebelen, June 21, 2016.
You can turn right on red in Iowa. Except not where I was last night, from Washington Street on to Linn, which I only realized as I read the “no right on red” sign mid-turn. You’re definitely not supposed to turn left on red, which is what I did a few blocks earlier going from Iowa St. to Clinton. I have no excuse except—I’m not kidding—my mind was preoccupied by thoughts about self-driving…
ContinueAdded by Leena Kamath on June 22, 2016 at 11:30am — No Comments
By Justin Tenuto
For the past few years, the drumbeat of think pieces about automation taking your job–yes,your job–has gotten both louder and more incessant. Smart people like the folks at …
Added by Leena Kamath on February 8, 2016 at 9:41am — 1 Comment
There are precious few things that everybody adores. Once you get past breakfast in bed and two dollar bills, the list starts to look a little barren. But if there's one thing we can agree on as a society it's this: free stuff is good and cool and you want some of it right now.
In the spirit of this immutable law, we've compiled a list of our ten favorite places to find open data. Here they are, in no particular order.…
ContinueAdded by Leena Kamath on February 8, 2016 at 9:37am — No Comments
By Justin Tenuto
It's a brand new year and that means you'll be seeing scads of trend pieces this week. As you can probably assume from the title, we're not necessarily immune to that sort of thing…
ContinueAdded by Leena Kamath on February 8, 2016 at 9:35am — 5 Comments
Guest blog by Justin Tenuto
One of the big reasons we created our Data for Everyone initiative is that there simply aren't a ton of great open datasets out there for small businesses, startups, and academics to do work on. Sure, there are plenty of small, toy-sized datasets but those simply aren't big enough to create algorithms that anyone can trust. In fact, our founder Lukas wrote as much in this post:
ContinueRemember…
Added by Leena Kamath on August 13, 2015 at 10:00am — 1 Comment
The data is in and it's conclusive: America loved the marriage equality ruling - by Justin Tenuto
Depending on the sites you frequent and the social media you consume, you might think the Supreme Court's marriage equality ruling went over rather poorly. Maybe you spend a lot of time in the comments section of the National Review or have…
ContinueAdded by Leena Kamath on July 9, 2015 at 2:30pm — 2 Comments
A while back, we found an interesting dataset online. The URL, killedbypolice.net, is fairly self-explanatory. It's a community-sourced list of all "police-involved fatalities", started in May of 2013, but the data itself was a bit jumbled and messy. Race and gender identifiers were in the same column, dates were inconsistent, and though most entries had a news story, we felt there was more information we wanted to know. We put the dataset…
ContinueAdded by Leena Kamath on June 19, 2015 at 8:30am — No Comments
Posted 12 April 2021
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