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Making binary annotations less boring

14/08/2021

Introduction For a university project, I’m developing a Music recommendation classifier based on the Spotify API. The idea is to recommend new music to the user, based on songs he personally likes or dislikes and on the musical components of the song (speed, tonality, instrumentality and many more). The preparation of the dataset usually is the most time-consuming part of any machine learning project. This usually consists of gathering...

'Quick, Draw!' – Classifying Drawings with Python

21/10/2017

Image recognition has been a major challenge in machine learning, and working with large labelled datasets to train your algorithms can be time-consuming. One efficient approach for getting such data is to outsource the work to a large crowd of users. Google uses this approach with the game “Quick, Draw!” to create the world’s largest doodling dataset, which has recently been made publicly available . In this game, you are told...

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