FrankDrakman
FrankDrakman t1_iu1zohx wrote
Reply to comment by Channel_99 in The Mary Tyler Moore had a great smile (1960). by SurgicalFlinders
You forgot Diana Rigg from The Avengers, who was the actual winner, although all the women listed are beautiful.
FrankDrakman t1_iu1zl69 wrote
Reply to comment by Remorseful_User in The Mary Tyler Moore had a great smile (1960). by SurgicalFlinders
She went to The Ohio State University.
FrankDrakman t1_itnpyfj wrote
Reply to TIL that retired pro boxer George Chuvalo was never knocked down in his 93 bout professional career. Which included fights against Muhammad Ali, Joe Frazier, and George Foreman. by MightGuy420x
When I was six or seven, my dad was a member at the Argonaut Club in Toronto. So was Chuvalo.
One day, my dad took my younger brother and I into the sauna. It was the first time I'd ever been in one, and I thought it was unbearably hot. My brother and I had our glasses of pop with us and I remember sticking my nose into the glass to breathe the ice-cooled air.
George Chuvalo came in. He went to the top bench, where it was even hotter, and started doing situps. He was still doing them when we left a few minutes later.
FrankDrakman t1_ivfgi0j wrote
Reply to The big data delusion – the more data we have, the harder it is to find meaningful patterns in the world. by IAI_Admin
yes, I agree it's a delusion. The more data we have, the easier it is to find the patterns. The new data tools are so powerful, it's easy to winnow through fields of chaff to find a few grains of wheat. And don't be fooled by what's commercially available.
Ten years ago, I went to a conference where one of the speakers was describing how they had successfully used the Qlik BI tool to be able to extract opinions from natural speech.
For those not in the field, natural speech is extremely hard to catalog. For example, an old type of system might have read "Trump was not the best president", and because "best" and "president" and "Trump" were in the same sentence, the system would have concluded this is a favourable opinion, when clearly it is not. That's just a simple example; it gets much worse.
But this guy was able to show us that his company's product had overcome those limitations. When the Q&A came around, he was asked who was using it, and he gave us the standard "I'd tell you, but then I'd have to kill you" line. Except I don't think he was joking.
As I said, that was ten years ago. Data science advances by leaps and bounds each year. I'm pretty sanguine about our ability to keep up with the datums.