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Max Halford

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Articole: 109

  1. A short introduction and conclusion to the OpenBikes 2016 Challenge

    (Max Halford)

    During my undergraduate internship in 2015 I started a side project called OpenBikes.

  2. Challenge Big Data @ TSE

    (Max Halford)

  3. Halftoning with Go - Part 1

    (Max Halford)

    Recently I stumbled upon this webpage which shows how to use a TSP solver as a halftoning technique.

  4. Predire la disponibilité des Velib' @ Toulouse Data Science Meetup

    (Max Halford)

  5. Recursive polygons with JavaScript

    (Max Halford)

    I like modern art, I enjoy looking at the stuff that was made at the beginning of the 20th century and thinking how it is still shaping today’s style.

  6. The Naïve Bayes classifier

    (Max Halford)

    The objective of a classifier is to decide to which class (also called label) to assign an observation based on observed data.

  7. An introduction to genetic algorithms

    (Max Halford)

    The goal of genetic algorithms (GAs) is to solve problems whose solutions are not easily found (ie.

  8. Setting up a droplet to host a Flask app

    (Max Halford)

    After having worked for some weeks on the OpenBikes website, it was time to put it online.

  9. Visualizing bike stations live data

    (Max Halford)

    Recently some friends and I decided to launch openbikes.co, a website for visualizing (and later on analyzing) urban bike traffic.