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predictors of cooperation: long memory and short foresight.

predictors of greed/selfishness: short memory and long term planning.

This is your starting point. Learn the fundamentals of Gamification. Once you complete the fundamentals, you can learn the advanced techniques.

Scientists worried that facial recognition software could be used to detect sexual orientation. Their efforts to raise an alarm caused an uproar.

#wang #yilun

Representing data for humans

http://people.csail.mit.edu/beenkim/slides/Kim2016MMD_final_short.pdf

Is there a performance or code maintenance issue with using assert as part of the standard code instead of using it just for debugging purposes? Is assert x >= 0, 'x is less than zero' better...

Intro: I have given a talk with this title many times, and it turns out from discussions after the talk I could have just as well have called it "You and You...

“I ain’t scared of nothing”

http://www.ted.com Neuroscientist Daniel Wolpert starts from a surprising premise: the brain evolved, not to think or feel, but to control movement. In this ...

Going from a research idea to experiments is fundamental. But thisstep is typically glossed over with little explicit advice. Inacademia, the graduate studen...

Kullback–Leibler divergence is a very useful way to measure the difference between two probability distributions. In this post we'll go over a simple example to help you better grasp this interesting tool from information theory.

MacDonald's Menu and the Dirichlet Process

Kelly McGonigal: "The Willpower Instinct" | Talks at Google

https://www.youtube.com/watch?v=V5BXuZL1HAg

With new neural network architectures popping up every now and then, it’s hard to keep track of them all. Knowing all the abbreviations being thrown around (DCIGN, BiLSTM, DCGAN, anyone?) can be a bit overwhelming at first. So I decided to compose a cheat sheet containing many of those architectures. Most of these are neural networks, some are completely …

GLM and is my data normal?

http://allendowney.blogspot.co.uk/2013/08/are-my-data-normal.html

“In this blog post I will write about:

How a few outliers can largely affect the fit of linear regression models. How replacing the normal likelihood with Student T distribution produces robust regression. How this can easily be done with PyMC3 and its new glm module by passing a family object.”

http://twiecki.github.io/blog/2013/08/27/bayesian-glms-2/

“One of the frequently-asked questions over at the statistics subreddit (reddit.com/r/statistics) is how to test whether a dataset is drawn from a particular distribution, most often the normal distribution. There are standard tests for this sort of thing, many with double-barreled names like Anderson-Darling, Kolmogorov-Smirnov, Shapiro-Wilk, Ryan-Joiner, etc. But these tests are almost never what you really want. When people ask these questions, what they really want to know (most of the time) is whether a particular distribution is a good model for a dataset. And that's not a statistical test; it is a modeling decision. All statistical analysis is based on models, and all models are based on simplifications. Models are only useful if they are simpler than the real world, which means you have to decide which aspects of the real world to include in the model, and which things you can leave out.”

Dmitry Malioutov can’t say much about what he built. As a research scientist at IBM, Malioutov spends part of his time building…

Tracking the flight of the bumblebee teaches us how they use plants – and how we can help them.

jupyter_nbextensions_configurator - A jupyter notebook serverextension providing config interfaces for nbextensions.

very good to turn work notebooks into presentable results.

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