The Art of Designing Road Networks

Transport problems of a city through the eyes of a Computer Scientist

This is a translated and adopted article I wrote for the Aha'22 (30 May 2022) conference. It describes an approach to a marketplace prices optimisation. Here I've outlined some important definitions and tried to define the scopes and roles of ML, algorithms, and humans in optimal pricing. Although the article covers rather basic things, still, you can find out some new formulas and ideas, because these basics are somewhat "well-known only in a very closed clubs", and besides, the real gem found here is the detailed recipe for ML engineers how to build optimal pricing systems.

One could write, “Experienced developers working on parsing and automation often face the need to bypass modern CAPTCHAs.” But that’s too boring… I’d rather start like this—continuing to explore the amusing world of CAPTCHAs, I finally stumbled upon the Chinese variant of protection: the GeeTest CAPTCHA. Let’s break down what this beast is, where it dwells, and why you should (or shouldn’t) fear it… You’ll understand as we go!

GeeTest is one of the advanced anti-bot systems combining user puzzles with behavioral analysis. I decided to take a close look at recognizing the GeeTest CAPTCHA under real-world conditions and figure out how to bypass GeeTest with various methods. But first—a classic introduction (which, by the way, may be more interesting than the practical part of the article, since bypassing the GeeTest CAPTCHA is already a non-trivial task for many readers).