Introduction XGBoost is a library designed and optimized for boosting trees algorithms. Gradient boosting trees model is originally proposed by Friedman et al. The underlying algorithm of XGBoost is similar, specifically it is an extension of the classic gbm algorithm. By employing multi-threads and imposing regularization, XGBoost is able to ...

Introduction XGBoost is a library designed and optimized for boosting trees algorithms. Gradient boosting trees model is originally proposed by Friedman et al. The underlying algorithm of XGBoost is similar, specifically it is an extension of the classic gbm algorithm. By employing multi-threads and imposing regularization, XGBoost is able to ...

Early this week, Google announced its Cloud Vision API, which can detect the content of an image. With the power of R and MXNet, you can try something very similar on your own laptop: an image classification shiny app. Thanks to the powerful shiny framework, it is implemented with no ...