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These are the kinds of situations that game theory At Purpose, Jeremy Heimans strategizes how to harness new social, economic and technological models to build movements with impact.
Big-picture talks about global politics and the shifting weight of the world. His answer will come as a surprise. About this event: Have you ever heard the saying 'life is a game'?
Watched 'Game of Thrones' or 'House of Cards'? Played video games, board games, card games? Followed the Olympic Games or taken part in athletic competitions?
Thought about mind-games and influencing people? At TEDxUniversityo Social media is an undeniable force in today's world.
Imagine you were asked to invent something new. It could be whatever you want, made from anything you choose, in any shape or size.
That kind of creative freedom sounds so liberating, doesn't it? Brandon Rodriguez explains how creative constraints actually Samantha Power studies US foreign policy, especially as it relates to war and human rights.
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All rights reserved. Teddy picks up one of his trademark Oreo cookies, puts it to his ear, splits it in two, then eats it before making the call.
During the final heads-up match, Mike open-raises huge 20 big blinds with pocket kings, Teddy 3-bets to half of his stack big blinds — yet another huge overbet , and Mike 4-bets all-in.
He puts it back in the tray and folds, indicating he did not have the hand he was representing aces. Mike is about to bet this flop with his top two pair when Teddy goes for the Oreo-to-the-ear move again, slowly separating the cookie and savoring the treat.
So, Mike decides to check. Teddy puts out one of his usual overbets and Mike makes the big laydown. After Mike calls Teddy out for having the nuts, Teddy, in disbelief, throws his chip rack full of cookies against the wall, presumably realizing his Oreo tell as a fatal flaw.
Teddy, in general, gives off too much information at the table. A sharp rounder like Mike McDermott can pick up on that information and tear Teddy to shreds, as he does by the end of the movie.
In this post we will be using a method known as transfer learning in order to detect metastatic cancer in patches of images from digital pathology scans.
In my last post , we learned what Logistic Regression is, and how it can be used to classify flowers in the Iris Dataset. In this post we will see how Logistic Regression can be applied to social networks in order to predict future collaboration between researchers.
A few posts back I wrote about a common parameter optimization method known as Gradient Ascent. In this post we will see how a similar method can be used to create a model that can classify data.
This time, instead of using gradient ascent to maximize a reward function, we will use gradient descent to minimize a cost function.