nhaliday + unit   322

Ask HN: Getting into NLP in 2018? | Hacker News
syllogism (spaCy author):
I think it's probably a bad strategy to try to be the "NLP guy" to potential employers. You'd do much better off being a software engineer on a project with people with ML or NLP expertise.

NLP projects fail a lot. If you line up a job as a company's first NLP person, you'll probably be setting yourself up for failure. You'll get handed an idea that can't work, you won't know enough about how to push back to change it into something that might, etc. After the project fails, you might get a chance to fail at a second one, but maybe not a third. This isn't a great way to move into any new field.

I think a cunning plan would be to angle to be the person who "productionises" models.
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Basically, don't just work on having more powerful solutions. Make sure you've tried hard to have easier problems as well --- that part tends to be higher leverage.

https://news.ycombinator.com/item?id=14008752
https://news.ycombinator.com/item?id=12916498
https://algorithmia.com/blog/introduction-natural-language-processing-nlp
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4 days ago by nhaliday
Parallel Computing: Theory and Practice
by Umut Acar who also co-authored a different book on parallel algorithms w/ Guy Blelloch from a more high-level and functional perspective
unit  books  cmu  cs  programming  tcs  algorithms  concurrency  c(pp)  divide-and-conquer  libraries  complexity  time-complexity  data-structures  orders  graphs  graph-theory  trees  models  functional  metal-to-virtual  systems 
9 weeks ago by nhaliday
Delta debugging - Wikipedia
good overview of with examples: https://www.csm.ornl.gov/~sheldon/bucket/Automated-Debugging.pdf

Not as useful for my usecases (mostly contest programming) as QuickCheck. Input is generally pretty structured and I don't have a long history of code in VCS. And when I do have the latter git-bisect is probably enough.

good book tho: http://www.whyprogramsfail.com/toc.php
WHY PROGRAMS FAIL: A Guide to Systematic Debugging\
wiki  reference  programming  systems  debugging  c(pp)  python  tools  devtools  links  hmm  formal-methods  divide-and-conquer  vcs  git  search  yak-shaving  pdf  white-paper  multi  examples  stories  books  unit  caltech  recommendations  advanced  correctness 
may 2019 by nhaliday
Workshop Abstract | Identifying and Understanding Deep Learning Phenomena
ICML 2019 workshop, June 15th 2019, Long Beach, CA

We solicit contributions that view the behavior of deep nets as natural phenomena, to be investigated with methods inspired from the natural sciences like physics, astronomy, and biology.
unit  workshop  acm  machine-learning  science  empirical  nitty-gritty  atoms  deep-learning  model-class  icml  data-science  rigor  replication  examples  ben-recht  physics 
april 2019 by nhaliday
Stat 260/CS 294: Bayesian Modeling and Inference
Topics
- Priors (conjugate, noninformative, reference)
- Hierarchical models, spatial models, longitudinal models, dynamic models, survival models
- Testing
- Model choice
- Inference (importance sampling, MCMC, sequential Monte Carlo)
- Nonparametric models (Dirichlet processes, Gaussian processes, neutral-to-the-right processes, completely random measures)
- Decision theory and frequentist perspectives (complete class theorems, consistency, empirical Bayes)
- Experimental design
unit  course  berkeley  expert  michael-jordan  machine-learning  acm  bayesian  probability  stats  lecture-notes  priors-posteriors  markov  monte-carlo  frequentist  latent-variables  decision-theory  expert-experience  confidence  sampling 
july 2017 by nhaliday
Edge Master Class 2008 RICHARD THALER, SENDHIL MULLAINATHAN, DANIEL KAHNEMAN: A SHORT COURSE IN BEHAVIORAL ECONOMICS | Edge.org
https://twitter.com/toad_spotted/status/878990195953205248
huge popularity of "behavioral economics"among powerful people=largely excitement at how much more control they'd exert over stupider people

Time for Behavioral Political Economy? An Analysis of Articles in Behavioral Economics: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=1846184
This study analyzes leading research in behavioral economics to see whether it contains advocacy of paternalism and whether it addresses the potential cognitive limitations and biases of the policymakers who are going to implement paternalist policies. The findings reveal that 20.7% of the studied articles in behavioral economics propose paternalist policy action and that 95.5% of these do not contain any analysis of the cognitive ability of policymakers. This suggests that behavioral political economy, in which the analytical tools of behavioral economics are applied to political decision-makers as well, would offer a useful extension of the research program.

https://www.bloomberg.com/view/articles/2017-07-19/some-countries-like-nudges-more-than-others
Research shows that Americans and conservatives can be less open to cues to change behavior.

It’s For Your Own Good!: http://www.nybooks.com/articles/2013/03/07/its-your-own-good/
- Cass Sunstein

Against Autonomy: Justifying Coercive Paternalism
by Sarah Conly
Cambridge University Press, 206 pp., $95.00

WHO NUDGES THE NUDGERS?: https://jacobitemag.com/2017/10/26/who-nudges-the-nudgers/
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february 2017 by nhaliday
INFECTIOUS CAUSATION OF DISEASE: AN EVOLUTIONARY PERSPECTIVE
A New Germ Theory: https://www.theatlantic.com/magazine/archive/1999/02/a-new-germ-theory/377430/
The dictates of evolution virtually demand that the causes of some of humanity's chronic and most baffling "noninfectious" illnesses will turn out to be pathogens -- that is the radical view of a prominent evolutionary biologist

A LATE-SEPTEMBER heat wave enveloped Amherst College, and young people milled about in shorts or sleeveless summer frocks, or read books on the grass. Inside the red-brick buildings framing the leafy quadrangle students listened to lectures on Ellison and Emerson, on Paul Verlaine and the Holy Roman Empire. Few suspected that strains of the organism that causes cholera were growing nearby, in the Life Sciences Building. If they had known, they would probably not have grasped the implications. But these particular strains of cholera make Paul Ewald smile; they are strong evidence that he is on the right track. Knowing the rules of evolutionary biology, he believes, can change the course of infectious disease.

https://www.theatlantic.com/past/docs/issues/99feb/germ2.htm
I HAVE a motto," Gregory Cochran told me recently. "'Big old diseases are infectious.' If it's common, higher than one in a thousand, I get suspicious. And if it's old, if it has been around for a while, I get suspicious."

https://www.theatlantic.com/past/docs/issues/99feb/germ3.htm
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february 2017 by nhaliday
Measurement error and the replication crisis | Science
In a low-noise setting, the theoretical results of Hausman and others correctly show that measurement error will attenuate coefficient estimates. But we can demonstrate with a simple exercise that the opposite occurs in the presence of high noise and selection on statistical significance.
study  org:nat  science  meta:science  stats  signal-noise  gelman  methodology  hypothesis-testing  replication  social-science  error  metabuch  unit  nibble  bounded-cognition  measurement  🔬  info-dynamics 
february 2017 by nhaliday
Orthogonal — Greg Egan
In Yalda’s universe, light has no universal speed and its creation generates energy.

On Yalda’s world, plants make food by emitting their own light into the dark night sky.
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february 2017 by nhaliday
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