Data Science and Predictive Analytics: Biomedical and Health Applications using R,Used

Data Science and Predictive Analytics: Biomedical and Health Applications using R,Used

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SKU: SONG3319723464
Brand: Springer
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1 Introduction. 2 Foundations of R. 3 Managing Data in R. 4 Data Visualization. 5 Linear Algebra & Matrix Computing. 6 Dimensionality Reduction. 7 Lazy Classification Using Nearest Neighbors. 8 Probabilistic Classification Using Naive Bayes. 9 Decision Tree Divide and Conquer Classification. 10 Forecasting Numeric Data Using Regression Models. 11 Black Box MachineLearning Neural Networks and Support Vector Machines. 12 Apriori Association Rules Learning. 13 kMeans Clustering. 14 Model Performance Assessment. 15 Improving Model Performance. 16 Specialized Machine Learning Topics. 17 Variable/Feature Selection. 18 Regularized Linear Modeling and Controlled Variable Selection. 19 Big Longitudinal Data Analysis. 20 Natural Language Processing/Text Mining. 21 Prediction and Internal Statistical Cross Validation. 22 Function Optimization. 23 Deep Learning Neural Networks. 24 Summary. 25 Glossary. 26 Index. 27 Errata.

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