Gradient boosting (GBM) trees learn from data without a specified model, they do unsupervised learning. XGBoost is a popular gradient-boosting library for GPU training, distributed computing, and parallelization. It’s precise, it adapts well to all types of data and problems, it has excellent documentation, and overall it’s very easy to use. At the moment it’s […]
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