Researchers at Amrita Vishwa Vidyapeetham built an explainable machine learning framework that predicts student dropout risk ...

An adaptive porosity-based segmentation method called Smart Threshold replaces fixed thresholds in apple CT imaging, ...

Introduction About six months ago, a proposal I made to improve a predictive model I was in charge of was stalled during an ...

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning ...

Swap the label names on a typed decision model's definitions and it flips up to 77% of its answers with zero format errors.

In the previous article, we covered the "yardstick" for evaluation. At the end, I wrote that if the number of validation data ...

In their film on the case of the convicted American Indian Movement activist, the directors couldn’t interview their subject. Their solution wasn’t ideal. By Alissa Wilkinson The Black luminaries who ...

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), ...

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