Posts Tagged ‘ probability ’

The Central Limit Theorem – with Dragons

February 5, 2018
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The Central Limit Theorem – with Dragons

To quote Willy Wonka, “A little magic now and then is relished by the best of men [and women].” Any frequent reader of this blog will know that I am of a pragmatic nature when it comes to using statistics. … Continue reading →

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Videos for teaching and learning statistics

January 9, 2018
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It delights me that several of my statistics videos have been viewed over half a million times each. As well there is a stream of lovely comments (with the odd weird one) from happy viewers, who have found in the … Continue reading →

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Arnab Chakraborty on Bayes’ Theorem – The Central Equilibrium – Episode 3

Arnab Chakraborty kindly came to my new talk show, “The Central Equilibrium”, to talk about Bayes’ theorem.  He introduced the concept of conditional probability, stated Bayes’ theorem in its simple and general forms, and showe...

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NIPS 2017 Summary

December 15, 2017
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NIPS 2017 Summary

Some (opinionated) themes and highlights from this year’s NIPS conference:

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Visualizing classifier thresholds

November 13, 2017
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Visualizing classifier thresholds

Lately I’ve been thinking a lot about the connection between prediction models and the decisions that they influence. There is a lot of theory around this, but communicating how the various pieces all fit together with the folks who will use and be impacted by these decisions can be challenging. One of the important conceptual pieces […]

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Christopher Salahub on Markov Chains – The Central Equilibrium – Episode 2

It was a great pleasure to talk to Christopher Salahub about Markov chains in the second episode of my new talk show, The Central Equilibrium!  Chris graduated from the University of Waterloo with a Bachelor of Mathematics degree in statistics.  He just finished an internship in data development at Environics Analytics, and he is starting […]

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Dragon Trainer rich mathematical task

July 20, 2017
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Dragon Trainer rich mathematical task

I love rich mathematical tasks. Here is one for all levels of schooling. What do you think? Background to rich tasks A rich task is an open-ended task that students can engage with at multiple levels. I use the following … Continue reading →

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MCMC as a Stream

April 1, 2017
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Introduction This weekend I’ve been preparing some material for my upcoming Scala for statistical computing short course. As part of the course, I thought it would be useful to walk through how to think about and structure MCMC codes, and in particular, how to think about MCMC algorithms as infinite streams of state. This material … Continue reading MCMC as a Stream

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Weapons of Math Destruction – A Data Scientist’s Guide to Disarmament

September 11, 2016
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Weapons of Math Destruction – A Data Scientist’s Guide to Disarmament

I’ve had this book on pre-order since spring and it finally arrived on Friday. I subsequently devoured it over the weekend. The book lays out a clear and compelling case for how data-driven algorithms can become — in contrast to their promise of amoral objectivism — efficient means for reproducing and even exacerbating social inequalities […]

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That’s like so random! Monte Carlo for Data Science

July 14, 2016
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Another great turnout at the DataPhilly meetup last night. Was great to see all you random data nerds! Code snippets to generate animated examples here.

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