Articles liés à Elements of Data Science, Machine Learning, and Artificial...
Synopsis
The textbook provides students with tools they need to analyze complex data using methods from data science, machine learning and artificial intelligence. The authors include both the presentation of methods along with applications using the programming language R, which is the gold standard for analyzing data. The authors cover all three main components of data science: computer science; mathematics and statistics; and domain knowledge. The book presents methods and implementations in R side-by-side, allowing the immediate practical application of the learning concepts. Furthermore, this teaches computational thinking in a natural way. The book includes exercises, case studies, Q&A and examples.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l?auteur
Frank Emmert-Streib is Professor of Data Science at Tampere University (Finland). He leads the Predictive Society and Data Analytics Lab, which pursues innovative research in deep learning and natural language processing. The Lab develops and applies high-dimensional methods in machine learning, statistics, and artificial intelligence that can be used to extract knowledge from data in the fields of biology, medicine, social media, social sciences, marketing, or business.
Salissou Moutari is Senior Lecturer at Queen's University Belfast (UK) and Interim Director of Research of the Mathematical Science Research Centre (MSRC). His research interests include mathematical modelling, optimization, machine learning and data science, and the applications of these methods to problems from traffic, transportation and distribution systems, production planning and industrial processes.
Matthias Dehmer is Professor at UMIT (Austria) and also has a position at Swiss Distance University of Applied Sciences, Brig, Switzerland. His research interests are in complex networks, complexity, data science, machine learning, big data analytics, and information theory. In particular, he is working on machine learning based methods to analyse high-dimensional data.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
- ÉditeurSpringer International Publishing AG
- Date d'édition2023
- ISBN 10 3031133382
- ISBN 13 9783031133381
- ReliureRelié
- Langueanglais
- Nombre de pages575
- Coordonnées du fabricantnon disponible
Acheter neuf
Afficher cet article
EUR 61,26
Gratuit expédition depuis Etats-Unis vers France
Destinations, frais et délais
Résultats de recherche pour Elements of Data Science, Machine Learning, and Artificial...
Image d'archives
Elements of Data Science, Machine Learning, and Artificial Intelligence Using R
Vendeur : Romtrade Corp., STERLING HEIGHTS, MI, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide. N° de réf. du vendeur ABNR-27775
Quantité disponible : 1 disponible(s)
Image d'archives
Elements of Data Science, Machine Learning, and Artificial Intelligence Using R
Vendeur : Basi6 International, Irving, TX, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Etat : Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service. N° de réf. du vendeur ABEJUNE24-377720
Quantité disponible : 1 disponible(s)
Image d'archives
ELEMENTS OF DATA SCIENCE, MACHINE LEARNING, AND ARTIFICIAL INTELLIGENCE USING R
Vendeur : Basi6 International, Irving, TX, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Etat : Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service. N° de réf. du vendeur ABEJUNE24-325401
Quantité disponible : 1 disponible(s)
Image d'archives
Elements of Data Science, Machine Learning, and Artificial Intelligence Using R
Vendeur : Basi6 International, Irving, TX, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Etat : Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service. N° de réf. du vendeur ABEJUNE24-13979
Quantité disponible : 1 disponible(s)
Image fournie par le vendeur
Elements of Data Science, Machine Learning, and Artificial Intelligence Using R
Edité par
Springer, Berlin|Springer International Publishing|Springer, 2022
ISBN 10 : 3031133382
ISBN 13 : 9783031133381
Neuf
Couverture rigide
Vendeur : moluna, Greven, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Gebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The textbook provides students with tools they need to analyze complex data using methods from data science, machine learning and artificial intelligence. The authors include both the presentation of methods along with applications using the programming lan. N° de réf. du vendeur 668447494
Quantité disponible : Plus de 20 disponibles
Image d'archives
Elements of Data Science, Machine Learning, and Artificial Intelligence Using R
Vendeur : Majestic Books, Hounslow, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. N° de réf. du vendeur 401022496
Quantité disponible : 1 disponible(s)
Image d'archives
Elements of Data Science, Machine Learning, and Artificial Intelligence Using R
Vendeur : Books Puddle, New York, NY, Etats-Unis
Évaluation du vendeur 4 sur 5 étoiles
Etat : New. 1st Edition. N° de réf. du vendeur 26395354623
Quantité disponible : 1 disponible(s)
Image d'archives
Elements of Data Science, Machine Learning, and Artificial Intelligence Using R
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. N° de réf. du vendeur 18395354613
Quantité disponible : 1 disponible(s)
Image fournie par le vendeur
Elements of Data Science, Machine Learning, and Artificial Intelligence Using R
ISBN 10 : 3031133382
ISBN 13 : 9783031133381
Neuf
Couverture rigide
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - The textbook provides students with tools they need to analyze complex data using methods from data science, machine learning and artificial intelligence. The authors include both the presentation of methods along with applications using the programming language R, which is the gold standard for analyzing data. The authors cover all three main components of data science: computer science; mathematics and statistics; and domain knowledge. The book presents methods and implementations in R side-by-side, allowing the immediate practical application of the learning concepts. Furthermore, this teaches computational thinking in a natural way. The book includes exercises, case studies, Q&A and examples. N° de réf. du vendeur 9783031133381
Quantité disponible : 1 disponible(s)
Image fournie par le vendeur
Elements of Data Science, Machine Learning, and Artificial Intelligence Using R
Edité par
Springer International Publishing Okt 2023, 2023
ISBN 10 : 3031133382
ISBN 13 : 9783031133381
Neuf
Couverture rigide
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The textbook provides students with tools they need to analyze complex data using methods from data science, machine learning and artificial intelligence. The authors include both the presentation of methods along with applications using the programming language R, which is the gold standard for analyzing data. The authors cover all three main components of data science: computer science; mathematics and statistics; and domain knowledge. The book presents methods and implementations in R side-by-side, allowing the immediate practical application of the learning concepts. Furthermore, this teaches computational thinking in a natural way. The book includes exercises, case studies, Q&A and examples. 596 pp. Englisch. N° de réf. du vendeur 9783031133381
Quantité disponible : 2 disponible(s)