bayesbiol
The Treachery of Models
Chime, A tool for Covid-19 capacity planning
From Eigenvalues to Eigenvectors: A Numpy Implementation
Re:Ask HN: Any open source code/materials on predicting future crimes ...
on Thursday December 21, 2017 @10:57AM (#15979687)
Any such system is/would be potentially very dangerous. Crime data is not the same thing as crime. Populations that are over-policed are be disproportionately represented in any such data set, leading to higher prediction of crime, leading in turn more over-policing (feedback loop). I implore anyone attempting to build such a system to consider the serious issue of machine bias and it's implications in the real world.
See this tutorial given at this years NIPS machine learning conference: http://mrtz.org/nips17/#/
Visualizing classifier thresholds
Applying decision theory to ML in healthcare
Visualizing Generative Adversarial Networks
Generative Adversarial Networks are the hotness at NIPS this year
Weapons of Math Destruction – A Data Scientist’s Guide to Disarmament
Antisocial – No real people. Guaranteed success
A probabilistic justification to carpe diem
On the reception and detection of pseudo-profound bullshit [pdf]
Categorizing NIPS papers using LDA topic modeling
A Battleship AI and probability calculator
Re:Hacking “Chutes and Ladders” using R
on Tuesday June 09, 2015 @07:59PM (#9689323)
I also wrote a little blog post about that very thing back in 2011. In addition to using a Markov chain approach, also took a look at it from an information entropy perspective. And the code is also in R, to boot! http://bayesianbiologist.com/2011/12/31/uncertainty-in-marko...
Is ecology explaining less and less?
Accentadder – automatically add accents to French text
Simudidactic
Oculus Rift + Stationary bike + kinect = Paperboy in VR
Calculating AUC the Hard Way
The Scientific 7-Minute workout from the command line
Ethics Aside, Is NSA's Spy Tool Efficient?
Simple math shows why the NSA’s Facebook spying is a fool’s errand
A quick guide to non-transitive Grime Dice
Re:Introduction to Bayesian Methods
on Sunday March 31, 2013 @10:44PM (#5471162)
Indeed. It's not a transcript of the talk, but here are the accompanying materials that we worked with during the class. http://bayesianbiologist.com/2012/10/19/introduction-to-baye...