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Code accompanying the book "Machine Learning for Hackers"
A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning al…
Using stochastic gradient descent (SGD) with explicit and implicit updates to fit large-scale statistical models.
Calculate textures from grey-level co-occurrence matrices (GLCMs) in R