Too Good to be True
Data Skeptic11 Mars 2016

Too Good to be True

Today on Data Skeptic, Lachlan Gunn joins us to discuss his recent paper Too Good to be True. This paper highlights a somewhat paradoxical / counterintuitive fact about how unanimity is unexpected in cases where perfect measurements cannot be taken. With large enough data, some amount of error is expected.

The "Too Good to be True" paper highlights three interesting examples which we discuss in the podcast. You can also watch a lecture from Lachlan on this topic via youtube here.

Det här avsnittet är hämtat från ett öppet RSS-flöde och publiceras inte av Podme. Det kan innehålla reklam.

Avsnitt(601)

[MINI] Natural Language Processing

[MINI] Natural Language Processing

This episode overviews some of the fundamental concepts of natural language processing including stemming, n-grams, part of speech tagging, and th bag of words approach.

17 Apr 201513min

Computer-based Personality Judgments

Computer-based Personality Judgments

Guest Youyou Wu discuses the work she and her collaborators did to measure the accuracy of computer based personality judgments. Using Facebook "like" data, they found that machine learning approaches...

10 Apr 201531min

[MINI] Markov Chain Monte Carlo

[MINI] Markov Chain Monte Carlo

This episode explores how going wine testing could teach us about using markov chain monte carlo (mcmc).

3 Apr 201515min

[MINI] Markov Chains

[MINI] Markov Chains

This episode introduces the idea of a Markov Chain. A Markov Chain has a set of states describing a particular system, and a probability of moving from one state to another along every valid connected...

20 Mars 201511min

Oceanography and Data Science

Oceanography and Data Science

Nicole Goebel joins us this week to share her experiences in oceanography studying phytoplankton and other aspects of the ocean and how data plays a role in that science.   We also discuss Thinkful ...

13 Mars 201533min

[MINI] Ordinary Least Squares Regression

[MINI] Ordinary Least Squares Regression

This episode explores Ordinary Least Squares or OLS - a method for finding a good fit which describes a given dataset.

6 Mars 201518min

NYC Speed Camera Analysis with Tim Schmeier

NYC Speed Camera Analysis with Tim Schmeier

New York State approved the use of automated speed cameras within a specific range of schools. Tim Schmeier did an analysis of publically available data related to these cameras as part of a project a...

27 Feb 201516min

[MINI] k-means clustering

[MINI] k-means clustering

The k-means clustering algorithm is an algorithm that computes a deterministic label for a given "k" number of clusters from an n-dimensional datset.  This mini-episode explores how Yoshi, our lilac c...

20 Feb 201514min

Populärt inom Vetenskap

allt-du-velat-veta
dumma-manniskor
p3-dystopia
rss-ufobortom-rimligt-tvivel
sexet
rss-vetenskapsradion
medicinvetarna
ufo-sverige
rss-vetenskapsradion-2
svd-nyhetsartiklar
hacka-livet
det-morka-psyket
kapitalet-en-podd-om-ekonomi
halsorevolutionen
paranormalt-med-caroline-giertz
ufo-sverige-2
rss-klotet
ideer-som-forandrar-varlden
pojkmottagningen
bildningspodden