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Borvornsak Laoratanapong
Borvornsak Laoratanapong

Borvornsak Laoratanapong

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Highlighted by Borvornsak Laoratanapong

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From Boosting Algorithms: AdaBoost, Gradient Boosting and XGBoost by Rohith Gandhi

… is slightly better than deciding from a coin toss. A strong learner has an error rate closer to 0. To convert a weak learner into strong learner, we take a family of weak learners, combine them and vote. This turns this family of weak learners into strong learners.

From CatBoost vs. Light GBM vs. XGBoost by Alvira Swalin

…ent-based One-Side Sampling (GOSS) to filter out the data instances for finding a split value while XGBoost uses pre-sorted algorithm & Histogram-based algorithm for computing the best split. Here instances means observations/samples.

From CatBoost vs. Light GBM vs. XGBoost by Alvira Swalin

LightGBM uses a novel technique of Gradient-based One-Side Sampling (GOSS) to filter out the data instances for finding a split value while XGBoost uses pre-sorted algorithm …

Claps from Borvornsak Laoratanapong

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Face recognizer application using a deep learning model (Python and Keras)

Sumantra Joshi

CatBoost vs. Light GBM vs. XGBoost

Alvira Swalin

6hrs Sleep vs 8hrs Sleep

Francesco D'Alessio