Data science : theory and applications

Bibliographische Detailangaben

Titel
Data science theory and applications
verantwortlich
Rao, C. R. (HerausgeberIn); Rao, Arni S. R. Srinivasa (HerausgeberIn)
Schriftenreihe
Handbook of statistics ; ; 44
veröffentlicht
Amsterdam: North Holland, 2021
Erscheinungsjahr
2021
Teil von
Handbook of statistics ; ; 44
Medientyp
E-Book
Datenquelle
British National Bibliography
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505 0 |a <p>1. Blockchain Technology: Theory and Practice <i>Srikanth Cherukupally </i>2. Statistical outline of animal home ranges, an application of set estimation <i>Amparo Baíllo </i>3. Application of Data Handling Techniques to Predict Pavement Performance <i>Sireesh Saride </i>4. Analysis of individual treatment effects for enhanced inferences in medicine <i>Victor Talisa </i>5. An EM algorithm over h-likelihood method for inference and prediction with censored spatial data <i>Somak Dutta </i>6. Nonparametric Data Science: Testing Hypotheses in Large Complex Data <i>Sunil Mathu </i>7. Data Structures and Artificial Intelligence Methods <i>Arni S.R. Srinivasa Rao </i>8. Chapter title to be confirmed <i>Jasmina Griffiths </i>9. Chapter title to be confirmed <i>Brijesh P. Singh</i></p> 
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spelling Data science theory and applications, Amsterdam North Holland 2021, 1 online resource., text rdacontent, computer rdamedia, online resource rdacarrier, Handbook of statistics ; 44, Description based on CIP data; resource not viewed., <p>1. Blockchain Technology: Theory and Practice <i>Srikanth Cherukupally </i>2. Statistical outline of animal home ranges, an application of set estimation <i>Amparo Baíllo </i>3. Application of Data Handling Techniques to Predict Pavement Performance <i>Sireesh Saride </i>4. Analysis of individual treatment effects for enhanced inferences in medicine <i>Victor Talisa </i>5. An EM algorithm over h-likelihood method for inference and prediction with censored spatial data <i>Somak Dutta </i>6. Nonparametric Data Science: Testing Hypotheses in Large Complex Data <i>Sunil Mathu </i>7. Data Structures and Artificial Intelligence Methods <i>Arni S.R. Srinivasa Rao </i>8. Chapter title to be confirmed <i>Jasmina Griffiths </i>9. Chapter title to be confirmed <i>Brijesh P. Singh</i></p>, Big data., Rao, C. R. editor., Rao, Arni S. R. Srinivasa editor, Print version : 9780323852005, ELD ebook
spellingShingle Data science: theory and applications, <p>1. Blockchain Technology: Theory and Practice <i>Srikanth Cherukupally </i>2. Statistical outline of animal home ranges, an application of set estimation <i>Amparo Baíllo </i>3. Application of Data Handling Techniques to Predict Pavement Performance <i>Sireesh Saride </i>4. Analysis of individual treatment effects for enhanced inferences in medicine <i>Victor Talisa </i>5. An EM algorithm over h-likelihood method for inference and prediction with censored spatial data <i>Somak Dutta </i>6. Nonparametric Data Science: Testing Hypotheses in Large Complex Data <i>Sunil Mathu </i>7. Data Structures and Artificial Intelligence Methods <i>Arni S.R. Srinivasa Rao </i>8. Chapter title to be confirmed <i>Jasmina Griffiths </i>9. Chapter title to be confirmed <i>Brijesh P. Singh</i></p>, Big data.
title Data science: theory and applications
title_auth Data science theory and applications
title_full Data science theory and applications
title_fullStr Data science theory and applications
title_full_unstemmed Data science theory and applications
title_short Data science
title_sort data science theory and applications
title_sub theory and applications
topic Big data.
topic_facet Big data.