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7 votes
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Dissecting a Dweet: Strange Attractor (a tiny 3D Lorenz system in javascript)
9 votes -
The math of Emil Konopinski
7 votes -
A mathematician has resolved the Sensitivity Conjecture, a nearly thirty-year-old problem in computer science
24 votes -
the sierpinski triangle page to end most sierpinski triangle pages ™
9 votes -
It's the Effect Size, Stupid - What effect size is and why it is important
9 votes -
Ancient Babylonian astronomers calculated Jupiter’s position from the area under a time-velocity graph
7 votes -
What's the story with log(1 + 2 + 3)?
5 votes -
Penrose, a platform to create diagrams just by typing mathematical notation in plain text
6 votes -
Math teachers should be more like football coaches
7 votes -
The Subtle Art of the Mathematical Conjecture
6 votes -
Why the world’s best mathematicians are hoarding chalk
27 votes -
A quick and dirty introduction to Exterior Calculus (Stoke's Theorem)
6 votes -
A new approach to multiplication opens the door to better quantum computers
7 votes -
Higher Homotopy Groups Are Spooky
6 votes -
A common misconception is that the risk of overfitting increases with the number of parameters in the model. In reality, a single parameter suffices to fit most datasets
@lopezdeprado: A common misconception is that the risk of overfitting increases with the number of parameters in the model. In reality, a single parameter suffices to fit most datasets: https://t.co/4eOGBIyZl9 Implementation available at: https://t.co/xKikc2m0Yf
5 votes -
Mathematicians discover a more efficient way to multiply large numbers
15 votes -
Overview of differential equations
4 votes -
Venus is not Earth's closest neighbour
17 votes -
Even after thirty-one trillion digits, we’re still no closer to the end of pi
18 votes -
How I'm able to take notes in mathematics lectures using LaTeX and Vim
20 votes -
It’s time to talk about ditching statistical significance
19 votes -
The sideways tide
4 votes -
The math that tells cells what they are
5 votes -
Pictures of Ultrametric Spaces, the p-adic Numbers, and Valued Fields
10 votes -
All the numbers
7 votes -
Heesch numbers and tiling
7 votes -
Modern Arabic Mathematical Notation
15 votes -
The double life of black holes: Perfect black holes are versatile mathematical tools. Just don’t mistake them for the real thing
3 votes -
Almost all polynomials are irreducible
13 votes -
All models are wrong
6 votes -
Randomness is random
8 votes -
A sci-fi writer and an anonymous 4chan poster advance a mathematical permutation problem
18 votes -
The triple jeopardy of a Chinese math prodigy
6 votes -
The Proof That Shook The World Had No Diagonals
7 votes -
The power of logic: How math can help you win your next argument
5 votes -
Toroflux paradox: making things (dis)appear with math
5 votes -
Twenty questions (of maddening, delicious geometry)
9 votes -
Titans of Mathematics Clash Over Epic Proof of ABC Conjecture
7 votes -
More Musings on Pollard Rho
3 votes -
Quaternions visualization by 3blue1brown - thinking in the fourth dimension
12 votes -
Idle musings about the Pollard Rho method of factoring integers
5 votes -
What statistic is absolutely mind-blowing?
Contrary to popular belief, if you're in a position where you need CPR from cardiac arrest, you only have a 5-10% chance of surviving after an attempted resuscitation.
22 votes -
A band of Polish mathematicians figured out much about how German Enigma encoding machines operated, years before Alan Turing did
6 votes -
Does Hollywood ruin books? - Numberphile
11 votes -
Mathematicians solve age-old spaghetti mystery
7 votes -
Which Beatle wrote one of the most famous songs of all time? A math model has the answer
7 votes -
How do you compute the probability of covering an entire population given you take an arbitrary number of random samples?
I suck at probability, so I thought I would ask here. To clarify, given a population of size P, a sample size of K, and an arbitrary number of trials N, how do I compute the probability of having...
I suck at probability, so I thought I would ask here.
To clarify, given a population of size P, a sample size of K, and an arbitrary number of trials N, how do I compute the probability of having included each member of the population at least once in the experiment?
This problem is difficult to wrap my head around. It seems like it uses a combination of combinatorics and dependent events, which really throws me off.
Edit: This problem isn't the coupon collector's problem (please see some of my responses below). Think of the coupon collector's problem as being a special case of this problem where K = 1. My question is meant to cover an arbitrary K >= 1.
9 votes -
2018 Fields Medal and Nevanlinna Prize Winners
5 votes -
How to convert a non-math-lover (Dandelin spheres)
3 votes