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whip_lash : algorithms   15

Statistical rule of three
The rule of three gives a quick and dirty way to estimate these kinds of probabilities. It says that if you’ve tested N cases and haven’t found what you’re looking for, a reasonable estimate is that the probability is less than 3/N.
algorithms  datascience  math  statistics 
november 2018 by whip_lash
A beginner's guide to Big O notation - Rob Bell
As a programmer first and a mathematician second (or maybe third or fourth) I found the best way to understand Big O thoroughly was to produce some examples in code. So, below are some common orders of growth along with descriptions and examples where possible.
algorithms 
september 2018 by whip_lash
Algorithm Repository
This page provides a comprehensive collection of algorithm implementations for seventy-five of the most fundamental problems in combinatorial algorithms. The problem taxonomy, implementations, and supporting material are all drawn from my book The Algorithm Design Manual. Since the practical person is more often looking for a program than an algorithm, we provide pointers to solid implementations of useful algorithms when they are available.
algorithms  programming 
august 2018 by whip_lash
Aho/Ullman Foundations of Computer Science
This book has been taken out of print by W. H. Freeman. You are welcome to use it if you like. We believed in 1992 it was the way to introduce theory in Computer Science, and we believe that today.
algorithms  book  books  programming 
august 2018 by whip_lash
A Tour of The Top 10 Algorithms for Machine Learning Newbies
For machine learning newbies who are eager to understand the basic of machine learning, here is a quick tour on the top 10 machine learning algorithms used by data scientists.
algorithms  datascience  machinelearning 
april 2018 by whip_lash
Understanding Dijkstra's Algorithm
When I first started learning algorithms and data structures, every resource I came across would mention Dijkstra’s algorithm in a sort of mystical, this-is-beyond-your-lowly-understanding manner. I disagree with that approach (in fact, I disagree with that approach for just about everything). Now that I’ve actually invested some time into learning it, it really isn’t as frightful as I was told to believe. I will (to the best of my ability) elucidate Dijkstra’s algorithm here.
algorithms  programming 
february 2018 by whip_lash

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