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Rakesh Chalasani
Rakesh Chalasani

Rakesh Chalasani

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From Introduction to recommender systems by Baptiste Rocca

…with items and a nearest neighbours search on these representations is used to produce suggestions. As no latent model is assumed, these methods have theoretically a low bias but a high variance.

From Machine Learning for Recommender systems — Part 1 (algorithms, evaluation and cold start) by Pavel Kordík

Machine learning algorithms in recommender systems are typically classified into two categories — content based and collaborative filtering methods although modern recommenders combine both approaches. Content based methods are based on similarity…

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Spotify Engineering Culture (Spotify Model)— an introduction

Willem-Jan Ageling

Role of a Data Science Manager

Sequoia

Bringing the best out of Jupyter Notebooks for Data Science

Parul Pandey