[MINI] Monkeys on Typewriters
Data Skeptic14 Nov 2014

[MINI] Monkeys on Typewriters

What is randomness? How can we determine if some results are randomly generated or not? Why are random numbers important to us in our everyday life? These topics and more are discussed in this mini-episode on random numbers.

Many readers will be vaguely familar with the idea of "X number of monkeys banging on Y number of typewriters for Z number of years" - the idea being that such a setup would produce random sequences of letters. The origin of this idea was the mathemetician Borel who was interested in whether or not 1,000,000 monkeys working for 10 hours per day might eventually reproduce the works of shakespeare.

We explore this topic and provide some further details in the show notes which you can find over at dataskeptic.com

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

Avsnitt(601)

Privacy Preference Signals

Privacy Preference Signals

Have you ever wondered what goes on under the hood when you accept a website's cookies? Today, Maximilian Hils, a PhD student in Computer Science, at the University of Innsbruck, Austria, dissects the...

4 Juli 202233min

Neural Architecture Search for CTR Prediction

Neural Architecture Search for CTR Prediction

Ravi Krishna joins us today to talk about his recent work on a differentiable NAS framework for ads CTR prediction. He discussed what CTR prediction is about and why his NAS framework helps in buildin...

27 Juni 202228min

Algorithmic PPC Management

Algorithmic PPC Management

Effectively managing a large budget of pay per click advertising demands software solutions. When spending multi-million dollar budgets on hundreds of thousands of keywords, an effective algorithmic s...

21 Juni 202243min

Data Skeptic: Ad Tech

Data Skeptic: Ad Tech

Increasingly, people get most if not all of the information they consume online. Alongside the web sites, videos, apps, and other destinations, we're consistently served advertisements alongside the o...

18 Juni 202242min

The Reliability of Mobile Phone Data

The Reliability of Mobile Phone Data

Our mobile phones generate an incredible amount of data inbound and outbound. In today's episode, Nishant Kishore, a PhD graduate of Harvard University in Infectious Disease Epidemiology, explains how...

13 Juni 202249min

Haywire Algorithms

Haywire Algorithms

The pandemic changed how we lived. And this had a ripple effect on the performance of machine learning models. Ravi Parikh joins us today to discuss how the pandemic has affected the performance of ma...

6 Juni 202233min

School Reopening Analysis

School Reopening Analysis

Carly Lupton-Smith joins us today to speak about her research which investigated the consistency between household and county measures of school reopening. Carly is a doctoral researcher in Biostatist...

30 Maj 202233min

Modern Data Stacks

Modern Data Stacks

Today, we are joined by Alexander Thor, a Product Manager at Vizlib, makers of Astrato. Astrato is a data analytics and business intelligence tool built on the cloud and for the cloud. Alexander discu...

26 Maj 202234min

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