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Data wrangling with R [[electronic resource] /] / by Bradley C. Boehmke, Ph.D
| Data wrangling with R [[electronic resource] /] / by Bradley C. Boehmke, Ph.D |
| Autore | Boehmke Ph.D., Bradley C |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (XII, 238 p. 24 illus., 10 illus. in color.) |
| Disciplina | 519.5 |
| Collana | Use R! |
| Soggetto topico |
Statistics
Data structures (Computer science) Big data Mathematics Visualization Computer graphics R (Computer program language) Statistics and Computing/Statistics Programs Statistical Theory and Methods Data Structures Big Data/Analytics Computer Graphics |
| ISBN | 3-319-45599-0 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface -- Introduction -- Working with Different Types of Data in R -- Managing Data Structures in R -- Importing, Scraping, and Exporting Data with R -- Creating Efficient & Readable Code in R -- Shaping & Transforming Your Data with R. |
| Record Nr. | UNINA-9910151661603321 |
Boehmke Ph.D., Bradley C
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Deep Learning with R [[electronic resource] /] / by Abhijit Ghatak
| Deep Learning with R [[electronic resource] /] / by Abhijit Ghatak |
| Autore | Ghatak Abhijit |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (259 pages) |
| Disciplina | 006.31 |
| Soggetto topico |
Artificial intelligence
Computer science—Mathematics Computer programming Statistics R (Computer program language) Artificial Intelligence Mathematics of Computing Programming Techniques Statistics and Computing/Statistics Programs |
| ISBN | 981-13-5850-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction to Machine Learning -- Introduction to Neural Networks -- Deep Neural Networks – I -- Initialization of Network Parameters -- Optimization -- Deep Neural Networks - II -- Convolutional Neural Networks (ConvNets) -- Recurrent Neural Networks (RNN) or Sequence Models -- Epilogue. |
| Record Nr. | UNINA-9910350219603321 |
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Ghatak Abhijit
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| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Diversity in Survey Questions on the Same Topic [[electronic resource] ] : Techniques for Improving Comparability / / by Tineke de Jonge, Ruut Veenhoven, Wim Kalmijn
| Diversity in Survey Questions on the Same Topic [[electronic resource] ] : Techniques for Improving Comparability / / by Tineke de Jonge, Ruut Veenhoven, Wim Kalmijn |
| Autore | de Jonge Tineke |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XV, 202 p. 47 illus., 45 illus. in color.) |
| Disciplina | 300.72 |
| Collana | Social Indicators Research Series |
| Soggetto topico |
Social sciences
Statistics Quality of life Methodology of the Social Sciences Statistics for Social Sciences, Humanities, Law Quality of Life Research Statistics and Computing/Statistics Programs |
| ISBN | 3-319-53261-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part 1: Comparing responses to different survey questions on the same topic -- Problems and conventional solutions -- chap. 1 Diversity in survey items and the comparability problem -- Part 2: Innovation 1: The happiness scale interval study -- chap. 2 The happiness scale interval study -- chap. 3 Use of happiness scale interval studies in this book -- chap. 4 Equivalence of rating scales using different keywords -- chap. 5 ‘Very Happy’ is not always equally happy -- chap. 6 A change in response scale comes with another interpretation of the labels: the japanese case (pm) -- Part 3: Innovation 2: The continuum approach -- chap. 7 The continuum approach -- Part 4 Innovation 3: The reference distribution method -- chap. 8 The reference distribution method -- chap. 9 Stability of the boundaries between response options for different countries -- chap. 10 Analyses of differences in trends among the happy few and the unhappy few -- chap. 11 Combining and pooling time series on life satisfaction in Japan and The Netherlands -- chap. 12 Directions for further research -- Appendices. |
| Record Nr. | UNINA-9910252708503321 |
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de Jonge Tineke
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Doubly Classified Model with R [[electronic resource] /] / by Teck Kiang Tan
| Doubly Classified Model with R [[electronic resource] /] / by Teck Kiang Tan |
| Autore | Tan Teck Kiang |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XIX, 264 p. 67 illus., 28 illus. in color.) |
| Disciplina | 005.55 |
| Soggetto topico |
Mathematical statistics
Statistics R (Computer program language) Probability and Statistics in Computer Science Statistical Theory and Methods Statistics and Computing/Statistics Programs |
| ISBN | 981-10-6995-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction to R -- Basic Concepts -- Examining Symmetry of Doubly Classified Table -- Symmetry and Asymmetry Models -- Point-Symmetry Models -- Non-independence Models -- Symmetry + Independence Models -- Modeling Strategy -- Creating Square models -- Summary. . |
| Record Nr. | UNINA-9910254824603321 |
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Tan Teck Kiang
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| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Early Software Reliability Prediction [[electronic resource] ] : A Fuzzy Logic Approach / / by Ajeet Kumar Pandey, Neeraj Kumar Goyal
| Early Software Reliability Prediction [[electronic resource] ] : A Fuzzy Logic Approach / / by Ajeet Kumar Pandey, Neeraj Kumar Goyal |
| Autore | Pandey Ajeet Kumar |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | New Delhi : , : Springer India : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (XIX, 153 p.) |
| Disciplina | 006.3 |
| Collana | Studies in Fuzziness and Soft Computing |
| Soggetto topico |
Computational intelligence
Software engineering Statistics Computational Intelligence Software Engineering Statistics and Computing/Statistics Programs |
| ISBN | 81-322-1176-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Backgrounds: Software Quality and Reliability Prediction -- Early Fault Prediction using Software Metrics and Process Maturity -- Multistage Model for Residual Fault Prediction -- Prediction and Ranking of Fault-prone Software Modules -- Reliability Centric Test Case Prioritization -- Software Reliability and Operational Profile -- Appendices -- References. |
| Record Nr. | UNINA-9910741141103321 |
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Pandey Ajeet Kumar
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| New Delhi : , : Springer India : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Elements of Copula Modeling with R [[electronic resource] /] / by Marius Hofert, Ivan Kojadinovic, Martin Mächler, Jun Yan
| Elements of Copula Modeling with R [[electronic resource] /] / by Marius Hofert, Ivan Kojadinovic, Martin Mächler, Jun Yan |
| Autore | Hofert Marius |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (274 pages) |
| Disciplina | 519.535 |
| Collana | Use R! |
| Soggetto topico |
Statistics
Economics, Mathematical Applied mathematics Engineering mathematics Computer software R (Computer program language) Statistics for Business, Management, Economics, Finance, Insurance Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Statistics and Computing/Statistics Programs Quantitative Finance Mathematical and Computational Engineering Mathematical Software |
| ISBN | 3-319-89635-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface -- Introduction -- Copulas -- Classes and Families -- Estimation -- Graphical Diagnostics, Tests and Model Selection -- Ties, Time Series and Regression -- R and Package Versions -- References -- Index. |
| Record Nr. | UNINA-9910309664603321 |
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Hofert Marius
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Encyclopedia of Machine Learning and Data Science [[electronic resource] /] / edited by Dinh Phung, Geoffrey I. Webb, Claude Sammut
| Encyclopedia of Machine Learning and Data Science [[electronic resource] /] / edited by Dinh Phung, Geoffrey I. Webb, Claude Sammut |
| Pubbl/distr/stampa | New York, NY : , : Springer US : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XXV, 1975 p. 600 illus.) |
| Disciplina | 006.3 |
| Soggetto topico |
Artificial intelligence
Data mining Statistics Pattern recognition Artificial Intelligence Data Mining and Knowledge Discovery Statistics and Computing/Statistics Programs Pattern Recognition |
| ISBN | 1-4899-7502-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Abduction -- Adaptive Resonance Theory -- Anomaly Detection -- Bayes Rule -- Case-Based Reasoning -- Categorical Data Clustering -- Causality -- Clustering from Data Streams -- Complexity in Adaptive Systems -- Complexity of Inductive Inference -- Computational Complexity of Learning -- Confusion Matrix -- Connections Between Inductive Inference and Machine Learning -- Covariance Matrix -- Decision List -- Decision Lists and Decision Trees -- Decision Tree -- Deep Learning -- Density-Based Clustering -- Dimensionality Reduction -- Document Classification -- Dynamic Memory Model -- Empirical Risk Minimization -- Error Rate -- Event Extraction from Media Texts -- Evolutionary Clustering -- Evolutionary Computation in Economics -- Evolutionary Computation in Finance -- Evolutionary Computational Techniques in Marketing -- Evolutionary Feature Selection and Construction -- Evolutionary Kernel Learning -- Evolutionary Robotics -- Expectation Maximization Clustering -- Expectation Propagation -- Feature Construction in Text Mining -- Feature Selection -- Feature Selection in Text Mining -- Gaussian Distribution -- Gaussian Process -- Generative and Discriminative Learning -- Grammatical Inference -- Graphical Models -- Hidden Markov Models -- Inductive Inference -- Inductive Logic Programming -- Inductive Programming -- Inductive Transfer -- Inverse Reinforcement Learning -- Kernel Methods -- K-Means Clustering -- K-Medoids Clustering -- K-Way Spectral Clustering -- Learning Algorithm Evaluation -- Learning Graphical Models -- Learning Models of Biological Sequences -- Learning to Rank -- Learning Using Privileged Information -- Linear Discriminant -- Linear Regression -- Locally Weighted Regression for Control -- Machine Learning and Game Playing -- Manhattan Distance -- Maximum Entropy Models for Natural Language Processing -- Mean Shift -- Metalearning -- Minimum Description Length Principle -- Minimum Message Length -- Mixture Model -- Model Evaluation -- Model Trees -- Multi Label Learning -- Naïve Bayes -- Occam's Razor -- Online Controlled Experiments and A/B Testing -- Online Learning -- Opinion Stream Mining -- PAC Learning -- Partitional Clustering -- Phase Transitions in Machine Learning. |
| Record Nr. | UNINA-9910349316303321 |
| New York, NY : , : Springer US : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Encyclopedia of Machine Learning and Data Science [[electronic resource] /] / edited by Dinh Phung, Geoffrey I. Webb, Claude Sammut
| Encyclopedia of Machine Learning and Data Science [[electronic resource] /] / edited by Dinh Phung, Geoffrey I. Webb, Claude Sammut |
| Pubbl/distr/stampa | New York, NY : , : Springer US : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XXV, 1975 p. 600 illus.) |
| Disciplina | 006.3 |
| Soggetto topico |
Artificial intelligence
Data mining Statistics Pattern recognition Artificial Intelligence Data Mining and Knowledge Discovery Statistics and Computing/Statistics Programs Pattern Recognition |
| ISBN | 1-4899-7502-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Abduction -- Adaptive Resonance Theory -- Anomaly Detection -- Bayes Rule -- Case-Based Reasoning -- Categorical Data Clustering -- Causality -- Clustering from Data Streams -- Complexity in Adaptive Systems -- Complexity of Inductive Inference -- Computational Complexity of Learning -- Confusion Matrix -- Connections Between Inductive Inference and Machine Learning -- Covariance Matrix -- Decision List -- Decision Lists and Decision Trees -- Decision Tree -- Deep Learning -- Density-Based Clustering -- Dimensionality Reduction -- Document Classification -- Dynamic Memory Model -- Empirical Risk Minimization -- Error Rate -- Event Extraction from Media Texts -- Evolutionary Clustering -- Evolutionary Computation in Economics -- Evolutionary Computation in Finance -- Evolutionary Computational Techniques in Marketing -- Evolutionary Feature Selection and Construction -- Evolutionary Kernel Learning -- Evolutionary Robotics -- Expectation Maximization Clustering -- Expectation Propagation -- Feature Construction in Text Mining -- Feature Selection -- Feature Selection in Text Mining -- Gaussian Distribution -- Gaussian Process -- Generative and Discriminative Learning -- Grammatical Inference -- Graphical Models -- Hidden Markov Models -- Inductive Inference -- Inductive Logic Programming -- Inductive Programming -- Inductive Transfer -- Inverse Reinforcement Learning -- Kernel Methods -- K-Means Clustering -- K-Medoids Clustering -- K-Way Spectral Clustering -- Learning Algorithm Evaluation -- Learning Graphical Models -- Learning Models of Biological Sequences -- Learning to Rank -- Learning Using Privileged Information -- Linear Discriminant -- Linear Regression -- Locally Weighted Regression for Control -- Machine Learning and Game Playing -- Manhattan Distance -- Maximum Entropy Models for Natural Language Processing -- Mean Shift -- Metalearning -- Minimum Description Length Principle -- Minimum Message Length -- Mixture Model -- Model Evaluation -- Model Trees -- Multi Label Learning -- Naïve Bayes -- Occam's Razor -- Online Controlled Experiments and A/B Testing -- Online Learning -- Opinion Stream Mining -- PAC Learning -- Partitional Clustering -- Phase Transitions in Machine Learning. |
| Record Nr. | UNISA-996465342103316 |
| New York, NY : , : Springer US : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Encyclopedia of Mathematical Geosciences [[electronic resource] /] / edited by B.S. Daya Sagar, Qiuming Cheng, Jennifer McKinley, Frits Agterberg
| Encyclopedia of Mathematical Geosciences [[electronic resource] /] / edited by B.S. Daya Sagar, Qiuming Cheng, Jennifer McKinley, Frits Agterberg |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Disciplina | 553 |
| Collana | Encyclopedia of Earth Sciences Series |
| Soggetto topico |
Geology—Statistical methods
Mathematical physics Remote sensing Statistics Quantitative Geology Mathematical Applications in the Physical Sciences Remote Sensing/Photogrammetry Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Statistics and Computing/Statistics Programs |
| ISBN | 3-030-26050-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Artificial Intelligence -- Bigdata -- Chaos and Singularity Analysis in Geosciences -- Compositional Data Analysis -- Computational Geosciences -- Digital Image Processing and Analysis -- Fractals and Multifractals -- Fuzzy and Rough Set Theory in Geosciences -- Geographical Information Science -- Geomathematics -- Geostatistics -- Inversion Theory -- Kriging -- Machine Learning and Geosciences -- Mathematical Morphology -- Mathematical Petrology -- Morphometry and Hypsometry -- Multiple Point Statistics -- Neural Networks -- Signal Processing and Analysis -- Spatial Data Sciences -- Spatial Statistics -- Stochastic -- Wavelets in Geosciences. |
| Record Nr. | UNINA-9910426056103321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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EnvStats [[electronic resource] ] : An R Package for Environmental Statistics / / by Steven P. Millard
| EnvStats [[electronic resource] ] : An R Package for Environmental Statistics / / by Steven P. Millard |
| Autore | Millard Steven P |
| Edizione | [2nd ed. 2013.] |
| Pubbl/distr/stampa | New York, NY : , : Springer New York : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (305 p.) |
| Disciplina |
363.7
519.5 |
| Soggetto topico |
Statistics
R (Computer program language) Statistics and Computing/Statistics Programs Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences |
| ISBN | 1-4614-8456-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface -- Chapters -- References -- Index. |
| Record Nr. | UNINA-9910438033803321 |
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Millard Steven P
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| New York, NY : , : Springer New York : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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