Spark in Action

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-m MEM parameter m2eclipse-scala machine learning  algorithms, 2^nd    avoiding overfitting    based on type of target variable    bias-variance tradeoff and model complexity    higher-order polynomials    K-fold cross-validation    plotting residual plots    step size and number of iterations    supervised and unsupervised algorithms  algorithms for, classification of    based on type of target variable    supervised and unsupervised algorithms  analyzing data    column cosine similarities    data distribution  decision trees    evaluating model    examining    example    impurity and information gain    training decision-tree model  defined  k-means clustering    determining number of clusters    evaluating model    in Spark  linear algebra ...