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Deep Learning, Structure and Innate Priors | Abigail See
Video. Yann LeCun and Christopher Manning discuss the role of priors/structure in machine learning.
yannlecun  ChrisManning  watchlist  papers  prior  statistics  NeuralNetworks  MachineLearning 
yesterday by csantos
'Mischievous Responders' Confound Research On Teens : NPR Ed : NPR
In a 2003 study, 19 percent of teens who claimed to be adopted actually weren't, according to follow-up interviews with their parents...In yet another survey, fully 99 percent of 253 students who claimed to use an artificial limb were just kidding.
statistics  teenagers  funny  science 
yesterday by yorksranter
How to use Our World in Data - Our World in Data
How to use Our World in Data in your presentations, in your writing, and your web articles and blog.
data  visualization  economics  statistics 
yesterday by soto97
Our World in Data
Our World in Data is an online publication that shows how living conditions are changing. The aim is to give a global overview and to show changes over the very long run, so that we can see where we are coming from and where we are today. We need to understand why living conditions improved so that we can seek more of what works.

We cover a wide range of topics across many academic disciplines: Trends in health, food provision, the growth and distribution of incomes, violence, rights, wars, culture, energy use, education, and environmental changes are empirically analyzed and visualized in this web publication. For each topic the quality of the data is discussed and, by pointing the visitor to the sources, this website is also a database of databases. Covering all of these aspects in one resource makes it possible to understand how the observed long-run trends are interlinked.

The project, produced at the University of Oxford, is made available in its entirety as a public good. Visualizations are licensed under CC BY-SA and may be freely adapted for any purpose. Data is available for download in CSV format. Code we write is open-sourced under the MIT license and can be found on GitHub. Feel free to make use of anything you find here!
data  economics  history  statistics  visualization 
yesterday by soto97
Frontiers | When Null Hypothesis Significance Testing Is Unsuitable for Research: A Reassessment | Frontiers in Human Neuroscience
Null hypothesis significance testing (NHST) has several shortcomings that are likely contributing factors behind the widely debated replication crisis of (cognitive) neuroscience, psychology, and biomedical science in general. We review these shortcomings and suggest that, after sustained negative experience, NHST should no longer be the default, dominant statistical practice of all biomedical and psychological research. If theoretical predictions are weak we should not rely on all or nothing hypothesis tests. Different inferential methods may be most suitable for different types of research questions. Whenever researchers use NHST they should justify its use, and publish pre-study power calculations and effect sizes, including negative findings. Hypothesis-testing studies should be pre-registered and optimally raw data published. The current statistics lite educational approach for students that has sustained the widespread, spurious use of NHST should be phased out.
science  nhst  statistics 
yesterday by deprecated
Human Cities
Real-time activity data for Cities around the world
graphs  statistics  ui 
yesterday by mhauken

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