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Supervised Machine Learning: Optimization Framework And Applications With Sas And R,New Robert K. Murray Paige Sletten Was All EnergyAi Framework Intended To Solve A Problem Of Biasvariance Tradeoff For Supervised Learning Methods In Reallife Applications. The Ai Framework Comprises Of Bootstrapping To Create Multiple Training And Testing Data Sets With Various Characteristics, Design And Analysis Of Statistical Experiments To Identify Optimal Feature Subsets And Optimal Hyperparameters For Ml Methods, Data Contamination To Test For The Robustness Of The Classifiers. Key Features:
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