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Active Inference : 5th International Workshop, IWAI 2024, Oxford, UK, September 9–11, 2024, Revised Selected Papers / / edited by Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Riddhi J. Pitliya, Noor Sajid, Hideaki Shimazaki, Tim Verbelen, Martijn Wisse
| Active Inference : 5th International Workshop, IWAI 2024, Oxford, UK, September 9–11, 2024, Revised Selected Papers / / edited by Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Riddhi J. Pitliya, Noor Sajid, Hideaki Shimazaki, Tim Verbelen, Martijn Wisse |
| Autore | Buckley Christopher L |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (276 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
CialfiDaniela
LanillosPablo PitliyaRiddhi J SajidNoor ShimazakiHideaki VerbelenTim WisseMartijn |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Artificial intelligence
Computer science - Mathematics Mathematical statistics Computer networks Application software Computers, Special purpose Software engineering Artificial Intelligence Probability and Statistics in Computer Science Computer Communication Networks Computer and Information Systems Applications Special Purpose and Application-Based Systems Software Engineering |
| ISBN |
9783031771385
3031771389 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -- Modeling behaviour and emotions. -- Towards Interaction Design with Active Inference: A Case Study on Noisy Ordinal Selection. -- Modelling Agency Perception in Depression Using Active Inference: A Multi-Agent Behavioural Study. -- Free Energy in a Circumplex Model of Emotions. -- Hybrid continuous-discrete systems. -- Learning in Hybrid Active Inference Models. -- Learning and embodied decisions in active inference. -- Structure learning. -- Online Structure Learning with Dirichlet Processes through Message Passing. -- Exploring and Learning Structure: Active Inference Approach in Navigational Agents. -- Multi-agent systems. -- Belief sharing: a blessing or a curse. -- Coupled autoregressive active inference agents for control of multi-joint dynamical systems. -- Reactive Environments for Active Inference Agents with RxEnvironments. -- Epistemic sampling. -- Selection of Exploratory or Goal-Directed Behavior by a Physical Robot Implementing Deep Active Inference. -- Epistemic Value Anticipation into the Deep Active Inference Model. -- Robot control. -- Planning to avoid ambiguous states through Gaussian approximations to non-linear sensors in active inference agents. -- Message Passing-based Bayesian Control of a Cart-Pole System. -- Reducing Intuitive-Physics Prediction Error through Playing. -- Sustainability and contextuality. -- Modeling Sustainability under Active Inference through resource management. -- Contextuality, Cognitive engagement, and Active Inference. |
| Record Nr. | UNINA-9910983347603321 |
Buckley Christopher L
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Active Inference : 4th International Workshop, IWAI 2023, Ghent, Belgium, September 13–15, 2023, Revised Selected Papers / / edited by Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Noor Sajid, Hideaki Shimazaki, Tim Verbelen, Martijn Wisse
| Active Inference : 4th International Workshop, IWAI 2023, Ghent, Belgium, September 13–15, 2023, Revised Selected Papers / / edited by Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Noor Sajid, Hideaki Shimazaki, Tim Verbelen, Martijn Wisse |
| Autore | Buckley Christopher L |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (293 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
CialfiDaniela
LanillosPablo RamsteadMaxwell SajidNoor ShimazakiHideaki VerbelenTim WisseMartijn |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Artificial intelligence
Computer science - Mathematics Mathematical statistics Computer networks Application software Computers, Special purpose Software engineering Artificial Intelligence Probability and Statistics in Computer Science Computer Communication Networks Computer and Information Systems Applications Special Purpose and Application-Based Systems Software Engineering |
| ISBN |
9783031479588
3031479580 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Active Inference and Robotics -- Contextual Qualitative Deterministic Models for Self-Learning Embodied Agents -- Dynamical Perception-Action Loop Formation with Developmental Embodiment for Hierarchical Active Inference -- Decision-making and Control -- Towards Metacognitive Robot Decision Making for Tool Selection -- Understanding Tool Discovery and Tool Innovation Using Active Inference -- Efficient Motor Learning Through Action-perception Cycles in Deep Kinematic Inference -- Active Inference and Psychology -- Towards Understanding Persons and their Personalities with Cybernetic Big 5 Theory and the Free Energy Principle and Active Inference (FEP-AI) Framework -- On Embedded Normativity - An Active Inference Account of Agency Beyond Flesh -- A Model of Agential Learning Using Active Inference -- From Theory to Implementation -- Designing Explainable Artificial Intelligence with Active Inference: A Framework for Transparent Introspection and Decision-making -- An Analytical Model of Active Inference in the Iterated Prisoner’s Dilemma -- Toward Design of Synthetic Active Inference Agents by Mere Mortals -- Learning Representations for Active Inference -- Exploring Action-Centric Representations Through the Lens of Rate-Distortion Theory -- Integrating Cognitive Map Learning and Active Inference for Planning in Ambiguous Environments -- Relative Representations for Cognitive Graphs -- Theory of Learning and Inference -- Active Inference in Hebbian Learning Networks -- Learning One Abstract Bit at a Time Through Self-Invented Experiments Encoded as Neural Networks -- Probabilistic Majorization of Partially Observable Markov Decision Processes. |
| Record Nr. | UNINA-9910765494503321 |
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Buckley Christopher L
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Active Inference : Third International Workshop, IWAI 2022, Grenoble, France, September 19, 2022, Revised Selected Papers / / edited by Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Noor Sajid, Hideaki Shimazaki, Tim Verbelen
| Active Inference : Third International Workshop, IWAI 2022, Grenoble, France, September 19, 2022, Revised Selected Papers / / edited by Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Noor Sajid, Hideaki Shimazaki, Tim Verbelen |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (383 pages) |
| Disciplina | 006.3 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Artificial intelligence
Computer science - Mathematics Mathematical statistics Computer networks Application software Computers, Special purpose Software engineering Artificial Intelligence Probability and Statistics in Computer Science Computer Communication Networks Computer and Information Systems Applications Special Purpose and Application-Based Systems Software Engineering |
| ISBN |
9783031287190
3031287193 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preventing Deterioration of Classification Accuracy in Predictive Coding Networks -- Interpreting systems as solving POMDPs: a step towards a formal understanding of agency -- Disentangling Shape and Pose for Object-Centric Deep Active Inference Models -- Object-based Active Inference -- Knitting a Markov blanket is hard when you are out-of-equilibrium: two examples in canonical nonequilibrium models -- Spin glass systems as collective active inference -- Mapping Husserlian phenomenology onto active inference -- The Role of Valence and Meta-awareness in Mirror Self-recognition Using Hierarchical Active Inference -- World model learning from demonstrations with active inference: application to driving behavior -- Active Blockference: cadCAD with Active Inference for cognitive systems modeling -- Active Inference Successor Representations -- Learning Policies for Continuous Control via Transition Models -- Attachment Theory in anActive Inference Framework: How Does Our Inner Model Take Shape? -- Capsule Networks as Generative Models -- Home run: finding your way home by imagining trajectories -- A Novel Model for Novelty: Modeling the Emergence of Innovation from Cumulative Culture -- Active Inference and Psychology of Expectations: A study of formalizing ViolEx -- AIXI, FEP-AI, and integrated world models: Towards a unified understanding of intelligence and consciousness -- Intention Modulation for Multi-Step Tasks in Continuous Time Active Inference -- Learning Generative Models for Active Inference using Tensor Networks -- A Worked Example of the Bayesian Mechanics of Classical Objects -- A message passing perspective on planning under Active Inference -- Efficient search of active inference policy spaces using k-means -- Value Cores for Inner and Outer Alignment: Simulating Personality Formation via Iterated Policy Selection and Preference Learning with Self-World Modeling Active Inference Agent -- Deriving time-averaged active inference from control principles. |
| Record Nr. | UNINA-9910683344203321 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Adolescent Brain Cognitive Development Neurocognitive Prediction [[electronic resource] ] : First Challenge, ABCD-NP 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings / / edited by Kilian M. Pohl, Wesley K. Thompson, Ehsan Adeli, Marius George Linguraru
| Adolescent Brain Cognitive Development Neurocognitive Prediction [[electronic resource] ] : First Challenge, ABCD-NP 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings / / edited by Kilian M. Pohl, Wesley K. Thompson, Ehsan Adeli, Marius George Linguraru |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (XI, 188 p. 57 illus., 49 illus. in color.) |
| Disciplina | 616.8047548 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Optical data processing
Machine learning Mathematical statistics Data mining Image Processing and Computer Vision Machine Learning Probability and Statistics in Computer Science Data Mining and Knowledge Discovery |
| ISBN | 3-030-31901-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | A Combined Deep Learning-Gradient Boosting Machine Framework for Fluid Intelligence Prediction -- Predicting Fluid Intelligence of Children using T1-weighted MR Images and a StackNet -- Deep Learning vs. Classical Machine Learning: A Comparison of Methods for Fluid Intelligence Prediction -- Surface-based Brain Morphometry for the Prediction of Fluid Intelligence in the Neurocognitive Prediction Challenge 2019 -- Prediction of Fluid Intelligence From T1-Weighted Magnetic Resonance Images -- Ensemble of SVM, Random-Forest and the BSWiMS Method to Predict and Describe Structural Associations with Fluid Intelligence Scores from T1-Weighed MRI -- Predicting intelligence based on cortical WM/GM contrast, cortical thickness and volumetry -- Predict Fluid Intelligence of Adolescent Using Ensemble Learning -- Predicting Fluid Intelligence in Adolescent Brain MRI Data: An Ensemble Approach -- Predicting Fluid intelligence from structural MRI using Random Forest regression -- Nu Support Vector Machine in Prediction of Fluid Intelligence Using MRI Data -- An AutoML Approach for the Prediction of Fluid Intelligence From MRI-Derived Features -- Predicting Fluid Intelligence from MRI images with Encoder-decoder Regularization -- ABCD Neurocognitive Prediction Challenge 2019: Predicting individual residual fluid intelligence scores from cortical grey matter morphology -- Ensemble Modeling of Neurocognitive Performance Using MRI-derived Brain Structure Volumes -- ABCD Neurocognitive Prediction Challenge 2019: Predicting individual fluid intelligence scores from structural MRI using probabilistic segmentation and kernel ridge regression -- Predicting fluid intelligence using anatomical measures within functionally defined brain networks -- Sex differences in predicting fluid intelligence of adolescent brain from T1-weighted MRIs -- Ensemble of 3D CNN regressors with data fusion for fluid intelligence prediction -- Adolescent fluid intelligence prediction from regional brain volumes and cortical curvatures using BlockPC-XGBoost -- Cortical and Subcortical Contributions to Predicting Intelligence using 3D ConvNets. |
| Record Nr. | UNISA-996466429903316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Adolescent Brain Cognitive Development Neurocognitive Prediction : First Challenge, ABCD-NP 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings / / edited by Kilian M. Pohl, Wesley K. Thompson, Ehsan Adeli, Marius George Linguraru
| Adolescent Brain Cognitive Development Neurocognitive Prediction : First Challenge, ABCD-NP 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings / / edited by Kilian M. Pohl, Wesley K. Thompson, Ehsan Adeli, Marius George Linguraru |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (XI, 188 p. 57 illus., 49 illus. in color.) |
| Disciplina | 616.8047548 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Computer vision
Machine learning Computer science - Mathematics Mathematical statistics Data mining Computer Vision Machine Learning Probability and Statistics in Computer Science Data Mining and Knowledge Discovery |
| ISBN | 3-030-31901-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | A Combined Deep Learning-Gradient Boosting Machine Framework for Fluid Intelligence Prediction -- Predicting Fluid Intelligence of Children using T1-weighted MR Images and a StackNet -- Deep Learning vs. Classical Machine Learning: A Comparison of Methods for Fluid Intelligence Prediction -- Surface-based Brain Morphometry for the Prediction of Fluid Intelligence in the Neurocognitive Prediction Challenge 2019 -- Prediction of Fluid Intelligence From T1-Weighted Magnetic Resonance Images -- Ensemble of SVM, Random-Forest and the BSWiMS Method to Predict and Describe Structural Associations with Fluid Intelligence Scores from T1-Weighed MRI -- Predicting intelligence based on cortical WM/GM contrast, cortical thickness and volumetry -- Predict Fluid Intelligence of Adolescent Using Ensemble Learning -- Predicting Fluid Intelligence in Adolescent Brain MRI Data: An Ensemble Approach -- Predicting Fluid intelligence from structural MRI using Random Forest regression -- Nu Support Vector Machinein Prediction of Fluid Intelligence Using MRI Data -- An AutoML Approach for the Prediction of Fluid Intelligence From MRI-Derived Features -- Predicting Fluid Intelligence from MRI images with Encoder-decoder Regularization -- ABCD Neurocognitive Prediction Challenge 2019: Predicting individual residual fluid intelligence scores from cortical grey matter morphology -- Ensemble Modeling of Neurocognitive Performance Using MRI-derived Brain Structure Volumes -- ABCD Neurocognitive Prediction Challenge 2019: Predicting individual fluid intelligence scores from structural MRI using probabilistic segmentation and kernel ridge regression -- Predicting fluid intelligence using anatomical measures within functionally defined brain networks -- Sex differences in predicting fluid intelligence of adolescent brain from T1-weighted MRIs -- Ensemble of 3D CNN regressors with data fusion for fluid intelligence prediction -- Adolescent fluid intelligence prediction from regional brain volumes and cortical curvatures using BlockPC-XGBoost -- Cortical and Subcortical Contributions to Predicting Intelligence using 3D ConvNets. |
| Record Nr. | UNINA-9910349275503321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advanced Methodologies for Bayesian Networks [[electronic resource] ] : Second International Workshop, AMBN 2015, Yokohama, Japan, November 16-18, 2015. Proceedings / / edited by Joe Suzuki, Maomi Ueno
| Advanced Methodologies for Bayesian Networks [[electronic resource] ] : Second International Workshop, AMBN 2015, Yokohama, Japan, November 16-18, 2015. Proceedings / / edited by Joe Suzuki, Maomi Ueno |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (XVIII, 265 p. 102 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Algorithms Mathematical statistics Computers Database management Application software Artificial Intelligence Algorithm Analysis and Problem Complexity Probability and Statistics in Computer Science Computation by Abstract Devices Database Management Information Systems Applications (incl. Internet) Intel·ligència artificial Estadística bayesiana |
| Soggetto genere / forma |
Congressos
Llibres electrònics |
| ISBN | 3-319-28379-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Effectiveness of graphical models including modeling. Reasoning, model selection -- Logic-probability relations -- Causality. Applying graphical models in real world settings -- Scalability -- Incremental learning.-Parallelization. |
| Record Nr. | UNISA-996466369303316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advanced Methodologies for Bayesian Networks : Second International Workshop, AMBN 2015, Yokohama, Japan, November 16-18, 2015. Proceedings / / edited by Joe Suzuki, Maomi Ueno
| Advanced Methodologies for Bayesian Networks : Second International Workshop, AMBN 2015, Yokohama, Japan, November 16-18, 2015. Proceedings / / edited by Joe Suzuki, Maomi Ueno |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (XVIII, 265 p. 102 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Algorithms Mathematical statistics Computers Database management Application software Artificial Intelligence Algorithm Analysis and Problem Complexity Probability and Statistics in Computer Science Computation by Abstract Devices Database Management Information Systems Applications (incl. Internet) Intel·ligència artificial Estadística bayesiana |
| Soggetto genere / forma |
Congressos
Llibres electrònics |
| ISBN | 3-319-28379-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Effectiveness of graphical models including modeling. Reasoning, model selection -- Logic-probability relations -- Causality. Applying graphical models in real world settings -- Scalability -- Incremental learning.-Parallelization. |
| Record Nr. | UNINA-9910484136303321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advanced Object-Oriented Programming in R : Statistical Programming for Data Science, Analysis and Finance / / by Thomas Mailund
| Advanced Object-Oriented Programming in R : Statistical Programming for Data Science, Analysis and Finance / / by Thomas Mailund |
| Autore | Mailund Thomas |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Berkeley, CA : , : Apress : , : Imprint : Apress, , 2017 |
| Descrizione fisica | 1 online resource (XV, 110 p. 10 illus.) |
| Disciplina | 005.11 |
| Soggetto topico |
Computer programming
Programming languages (Electronic computers) Mathematical statistics R (Computer program language) Programming Techniques Programming Languages, Compilers, Interpreters Probability and Statistics in Computer Science |
| ISBN |
9781484229194
1484229193 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1. Classes and Generic Functions -- 2. Class Hierarchies -- 3. Implementation Reuse -- 4. Statistical Models -- 5. Operator Overloading -- 6. S4 Classes -- 7. R6 Classes -- 8. Conclusions. |
| Record Nr. | UNINA-9910254567203321 |
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Mailund Thomas
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| Berkeley, CA : , : Apress : , : Imprint : Apress, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advanced R : data programming and the cloud / / by Matt Wiley, Joshua F. Wiley
| Advanced R : data programming and the cloud / / by Matt Wiley, Joshua F. Wiley |
| Autore | Wiley Matt |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Berkeley, CA : , : Apress : , : Imprint : Apress, , 2016 |
| Descrizione fisica | 1 online resource (XIX, 279 p. 77 illus., 40 illus. in color.) |
| Disciplina | 005.13 |
| Soggetto topico |
Programming languages (Electronic computers)
Mathematical statistics Statistics Computer programming R (Computer program language) Programming Languages, Compilers, Interpreters Probability and Statistics in Computer Science Statistics and Computing/Statistics Programs Programming Techniques |
| ISBN |
9781484220771
1484220773 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1.Programming Basics -- 2.Programming Utilities -- 3.Loops, flow control, and *apply functions -- 4.Writing Functions -- 5.Writing Classes and Methods -- 6.Writing a Package -- 7.Data Management using data.table -- 8.Data Munging With data.table -- 9.Other Tools for Data Management -- 10.Reading Big Data(bases) -- 11.Getting a Cloud -- 12.Ubuntu for Windows Users -- 13.Every Cloud has a Shiny lining -- 14.Shiny Dashboard Sampler -- 15.Dynamic Reports and the Cloud -- References. |
| Record Nr. | UNINA-9910151576903321 |
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Wiley Matt
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| Berkeley, CA : , : Apress : , : Imprint : Apress, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advanced R 4 Data Programming and the Cloud : Using PostgreSQL, AWS, and Shiny / / by Matt Wiley, Joshua F. Wiley
| Advanced R 4 Data Programming and the Cloud : Using PostgreSQL, AWS, and Shiny / / by Matt Wiley, Joshua F. Wiley |
| Autore | Wiley Matt |
| Edizione | [2nd ed. 2020.] |
| Pubbl/distr/stampa | Berkeley, CA : , : Apress : , : Imprint : Apress, , 2020 |
| Descrizione fisica | 1 online resource (XIII, 433 p. 65 illus., 9 illus. in color.) |
| Disciplina | 005.133 |
| Soggetto topico |
Programming languages (Electronic computers)
Mathematical statistics Statistics Computer programming R (Computer program language) Programming Languages, Compilers, Interpreters Probability and Statistics in Computer Science Statistics and Computing/Statistics Programs Programming Techniques |
| ISBN |
9781484259733
1484259734 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1. Programming Basics -- 2. Programming Utilities -- 3. Programming Automation -- 4. Writing Functions -- 5. Writing Classes and Methods -- 6. Writing Packages -- 7. Introduction to data.table -- 8. Advanced data.table -- 9. Other Data Management Packages -- 10. Reading Big Data -- 11. Getting Your Cloud -- 12. Cloud Ubuntu for Windows Users -- 13. Every Cloud has a Shiny lining -- 14. Shiny Dashboard Sampler -- 15. Dynamic Reports and the Cloud -- Bibliography. |
| Altri titoli varianti | Advanced R four data programming and the cloud |
| Record Nr. | UNINA-9910411930303321 |
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Wiley Matt
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| Berkeley, CA : , : Apress : , : Imprint : Apress, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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