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Bishop on Graphical Models

Distinguished Researcher Bishop is a highly respected contributor to the field of machine learning. While many of his texts are dense with math, his free chapter an graphical models is a clear and visual introduction to this emerging topic.

    • #Graphical Models
    • #Techniques
    • #Machine Learning
    • #Data Mining
    • #Statistics
  • 1 year ago
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'\x3ciframe width=\x22500\x22 height=\x22281\x22 src=\x22http://www.youtube.com/embed/jbkSRLYSojo?wmode=transparent\x26autohide=1\x26egm=0\x26hd=1\x26iv_load_policy=3\x26modestbranding=1\x26rel=0\x26showinfo=0\x26showsearch=0\x22 frameborder=\x220\x22 allowfullscreen\x3e\x3c/iframe\x3e'

Hans Rosling’s TED talks are famous. This BBC production “200 Countries, 200 Years, 4 Minutes” is a showcase for excellent data visualization, storytelling and confronting myths with facts. Wouldn’t agree to his overly optimistic conclusion though.

    • #Economy
    • #Statistics
    • #Visualization
    • #Storytelling
    • #Powerty
    • #Human Development
  • 1 year ago
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Great infographic at Newsweek: Countries of the world ranked by stuff
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Great infographic at Newsweek: Countries of the world ranked by stuff

Source: flowingdata.com

    • #Visualization
    • #Statistics
  • 2 years ago
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87.1% of all statistics are made up
    • #Statistics
    • #Humor
  • 2 years ago
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Is Big Data is the End of Theory?

Was the Wired magazine right back in 2008: Is big data the end of models and theory-driven science as we know it? I don’t agree with the technophilian fundamentalism offered in the article but big data almost certainly posseses a disuptive power that will blend into current science practices in ways no one can predict today. Article quotes:

“Sixty years ago, digital computers made information readable. Twenty years ago, the Internet made it reachable. Ten years ago, the first search engine crawlers made it a single database. Now Google and like-minded companies are sifting through the most measured age in history, treating this massive corpus as a laboratory of the human condition.”

“At the petabyte scale, information is not a matter of simple three- and four-dimensional taxonomy and order but of dimensionally agnostic statistics. It calls for an entirely different approach, one that requires us to lose the tether of data as something that can be visualized in its totality. It forces us to view data mathematically first and establish a context for it later. For instance, Google conquered the advertising world with nothing more than applied mathematics. It didn’t pretend to know anything about the culture and conventions of advertising — it just assumed that better data, with better analytical tools, would win the day. And Google was right. Google’s founding philosophy is that we don’t know why this page is better than that one: If the statistics of incoming links say it is, that’s good enough. No semantic or causal analysis is required.”

“Correlation is enough.” We can stop looking for models. We can analyze the data without hypotheses about what it might show.”

    • #Science
    • #Big Data
    • #Statistics
  • 2 years ago
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How Different Groups Spend Their Day

Stunning interactive visualization on how Americans spend their day.

Source: flowingdata.com

    • #Visualization
    • #statistics
  • 2 years ago
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Visualizing economic metrics by country. If Americans overestimate themself, I’d assume we have the opposite problem in Germany.
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Visualizing economic metrics by country. If Americans overestimate themself, I’d assume we have the opposite problem in Germany.

Source: flowingdata.com

    • #Visualization
    • #Economy
    • #Statistics
  • 2 years ago
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7 Billion: Are You Typical? Great commercial touching the value and dangers of “average”.

    • #Statistics
    • #Video
    • #National Geographics
    • #World
  • 2 years ago
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    • #Statistics
    • #Humor
  • 2 years ago
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Gallup surveyed people in more than 100 countries in 2009 and found that religiosity was highly correlated to poverty.

Wondering in what direction the causality is (if any — you never know just from correlation). I’d assume there is good reason for both with poverty “causing” faith beeing the stronger one.
Found at the NYT via FlowingData.
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Gallup surveyed people in more than 100 countries in 2009 and found that religiosity was highly correlated to poverty.

Wondering in what direction the causality is (if any — you never know just from correlation). I’d assume there is good reason for both with poverty “causing” faith beeing the stronger one.

Found at the NYT via FlowingData.

    • #Visualization
    • #Faith
    • #Poverty
    • #Statistics
  • 2 years ago
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I love applying Advanced Analytics to business problems.

My interests include Data Mining, Statistical Analysis, Predictive Analytics, Forecasting, Operations Research and Optimization, Big Data, Open Data and Data Visualization, Enterprise Software, and the Internet.

All opinions my own.

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