Russian search engine creator Yandex has joined the ranks of Google, Amazon, and Microsoft by releasing its own open source machine learning library, CatBoost.The Apache-licensed CatBoost is for “open-source gradient boosting on decision trees,” according to its GitHub repository’s README.
It provides a way to perform classifications and rankings of data by using a collection of decision-making mechanisms, or “learners,” rather than a single one. Results generated by the learners are weighted and classified based on the strengths and weaknesses of each learner.

By combining many learners, CatBoost can yield better results than decision-making systems that rely on individual learners.To read this article in full or to leave a comment, please click here

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