Sean Gallagher and an AI knowledgeable break down our loopy machine-learning journey

We have spent the previous few weeks burning copious quantities of AWS compute time trying to invent an algorithm to parse Ars’ front-page story headlines to foretell which of them will win an A/B take a look at—and we discovered lots. One of many classes is that we—and by “we,” I primarily imply “me,” since this odyssey was kind of my concept—ought to most likely have picked a much less, let’s say, formidable venture for our preliminary outing into the machine-learning wilderness. Now, a little bit older and a little bit wiser, it is time to mirror on the venture and focus on what went proper, what went considerably lower than proper, and the way we might do that in another way subsequent time.

Our readers had tons of extremely helpful feedback, too, particularly as we bought into the meaty part of the venture—feedback that we would like to get into as we focus on the way in which issues shook out. The vagaries of the edit cycle meant that the tales had been being posted fairly a bit after they had been written, so we did not have an opportunity to include a number of reader suggestions as we went, but it surely’s fairly clear that Ars has some top-shelf AI/ML specialists studying our tales (and doubtless groaning out loud each time we went down a little bit of a blind alley). It is a nice alternative so that you can soar into the dialog and assist us perceive how we are able to enhance for subsequent time—or, even higher, to assist us choose smarter tasks if we do an experiment like this once more!

Our chat kicks off on Wednesday, July 28, at 1:00 pm Jap Time (that is 10:00 am Pacific Time and 17:00 UTC). Our three-person panel will include Ars Infosec Editor Emeritus Sean Gallagher and me, together with Amazon Senior Principal Technical Evangelist (and AWS knowledgeable) Julien Simon. If you would like to register so to ask questions, use this link here; in case you simply need to watch, the dialogue will likely be streamed on the Ars Twitter account and archived as an embedded video on this story’s web page. Register and take part or verify again right here after the occasion to look at!

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