Data Science and Predictive Analytics
-15%
portes grátis
Data Science and Predictive Analytics
Biomedical and Health Applications using R
Springer International Publishing AG
09/2018
832
Dura
Inglês
9783319723464
15 a 20 dias
1863
Descrição não disponível.
1 Introduction.- 2 Foundations of R.- 3 Managing Data in R.- 4 Data Visualization.- 5 Linear Algebra & Matrix Computing.- 6 Dimensionality Reduction.- 7 Lazy Learning: Classification Using Nearest Neighbors.- 8 Probabilistic Learning: Classification Using Naive Bayes.- 9 Decision Tree Divide and Conquer Classification.- 10 Forecasting Numeric Data Using Regression Models.- 11 Black Box Machine-Learning Methods: Neural Networks and Support Vector Machines.- 12 Apriori Association Rules Learning.- 13 k-Means 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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
big data;R;statistical computing;predictive analytics;data science;health analytics;machine learning;statistical learning in R;hands-on machine learning;Big Data methods;data management;streaming;visualization;neural networks;controlled variable selection;text mining;natural language processing;cross-validation;deep learning
1 Introduction.- 2 Foundations of R.- 3 Managing Data in R.- 4 Data Visualization.- 5 Linear Algebra & Matrix Computing.- 6 Dimensionality Reduction.- 7 Lazy Learning: Classification Using Nearest Neighbors.- 8 Probabilistic Learning: Classification Using Naive Bayes.- 9 Decision Tree Divide and Conquer Classification.- 10 Forecasting Numeric Data Using Regression Models.- 11 Black Box Machine-Learning Methods: Neural Networks and Support Vector Machines.- 12 Apriori Association Rules Learning.- 13 k-Means 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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
big data;R;statistical computing;predictive analytics;data science;health analytics;machine learning;statistical learning in R;hands-on machine learning;Big Data methods;data management;streaming;visualization;neural networks;controlled variable selection;text mining;natural language processing;cross-validation;deep learning
