**whip_lash : algorithms**
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Statistical rule of three

november 2018 by whip_lash

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

september 2018 by whip_lash

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

august 2018 by whip_lash

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

august 2018 by whip_lash

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

april 2018 by whip_lash

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

february 2018 by whip_lash

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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