Articles liés à Introduction to Data Science: A Python Approach to...
Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications - Couverture souple
Synopsis
This accessible and classroom-tested textbook/reference presents an introduction to the fundamentals of the interdisciplinary field of data science. The coverage spans key concepts from statistics, machine/deep learning and responsible data science, useful techniques for network analysis and natural language processing, and practical applications of data science such as recommender systems or sentiment analysis.
Topics and features:
- Provides numerous practical case studies using real-world data throughout the book
- Supports understanding through hands-on experience of solving data science problems using Python
- Describes concepts, techniques and tools for statistical analysis, machine learning, graph analysis, natural language processing, deep learning and responsible data science
- Reviews a range of applications of data science, including recommender systems and sentiment analysis of text data
- Provides supplementary code resources and data at an associated website
This practically-focused textbook provides an ideal introduction to the field for upper-tier undergraduate and beginning graduate students from computer science, mathematics, statistics, and other technical disciplines. The work is also eminently suitable for professionals on continuous education short courses, and to researchers following self-study courses.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l?auteur
Dr. Laura Igual is an Associate Professor at the Departament de Matemàtiques i Informàtica, Universitat de Barcelona, Spain. Dr. Santi Seguí is an Associate Professor at the same institution.
The authors wish to mention that some chapters were co-written by Jordi Vitrià, Eloi Puertas, Petia Radeva, Oriol Pujol, Sergio Escalera.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Acheter neuf
Afficher cet article
EUR 39,05
EUR 6,94 expédition depuis Royaume-Uni vers France
Destinations, frais et délaisRésultats de recherche pour Introduction to Data Science: A Python Approach to...
Image d'archives
Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications (Undergraduate Topics in Computer Science)
Edité par
Springer, 2024
ISBN 10 : 3031489551
ISBN 13 : 9783031489556
Ancien ou d'occasion
paperback
Vendeur : Books From California, Simi Valley, CA, Etats-Unis
Évaluation du vendeur 4 sur 5 étoiles
paperback. Etat : Good. Minor shelf wear/ creasing on cover. N° de réf. du vendeur mon0003661016
Quantité disponible : 1 disponible(s)
Image d'archives
INTRODUCTION TO DATA SCIENCE : A PYTHON
Vendeur : Speedyhen, London, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Etat : NEW. N° de réf. du vendeur NW9783031489556
Quantité disponible : 1 disponible(s)
Image d'archives
Introduction to Data Science
Edité par
Springer International Publishing AG, 2024
ISBN 10 : 3031489551
ISBN 13 : 9783031489556
Neuf
PAP
Vendeur : PBShop.store US, Wood Dale, IL, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000. N° de réf. du vendeur GB-9783031489556
Quantité disponible : 1 disponible(s)
Image d'archives
Introduction to Data Science
Edité par
Springer International Publishing AG, 2024
ISBN 10 : 3031489551
ISBN 13 : 9783031489556
Neuf
PAP
Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000. N° de réf. du vendeur GB-9783031489556
Quantité disponible : 1 disponible(s)
Image fournie par le vendeur
Introduction to Data Science
Edité par
Springer International Publishing AG, CH, 2024
ISBN 10 : 3031489551
ISBN 13 : 9783031489556
Neuf
Paperback
Vendeur : Rarewaves.com UK, London, Royaume-Uni
Évaluation du vendeur 4 sur 5 étoiles
Paperback. Etat : New. 2nd ed. 2024. This accessible and classroom-tested textbook/reference presents an introduction to the fundamentals of the interdisciplinary field of data science. The coverage spans key concepts from statistics, machine/deep learning and responsible data science, useful techniques for network analysis and natural language processing, and practical applications of data science such as recommender systems or sentiment analysis. Topics and features: Provides numerous practical case studies using real-world data throughout the book Supports understanding through hands-on experience of solving data science problems using Python Describes concepts, techniques and tools for statistical analysis, machine learning, graph analysis, natural language processing, deep learning and responsible data scienceReviews a range of applications of data science, including recommender systems and sentiment analysis of text data Provides supplementary code resources and data at an associated website This practically-focused textbook provides an ideal introduction to the field for upper-tier undergraduate and beginning graduate students from computer science, mathematics, statistics, and other technical disciplines. The work is also eminently suitable for professionals on continuous education short courses, and to researchers following self-study courses. N° de réf. du vendeur LU-9783031489556
Quantité disponible : 1 disponible(s)
Image d'archives
Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications (Undergraduate Topics in Computer Science)
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. In. N° de réf. du vendeur ria9783031489556_new
Quantité disponible : Plus de 20 disponibles
Image fournie par le vendeur
Introduction to Data Science
Edité par
Springer International Publishing, 2024
ISBN 10 : 3031489551
ISBN 13 : 9783031489556
Neuf
Couverture souple
Vendeur : moluna, Greven, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. Describes tools and techniques that demystify data scienceDiscusses Python extensions, techniques and modules to perform statistical analysis and machine learningIncludes case studies, and supplies code examples and data at an associated we. N° de réf. du vendeur 1276622158
Quantité disponible : 1 disponible(s)
Image fournie par le vendeur
Introduction to Data Science
Edité par
Springer International Publishing AG, CH, 2024
ISBN 10 : 3031489551
ISBN 13 : 9783031489556
Neuf
Paperback
Vendeur : Rarewaves.com USA, London, LONDO, Royaume-Uni
Évaluation du vendeur 4 sur 5 étoiles
Paperback. Etat : New. 2nd ed. 2024. This accessible and classroom-tested textbook/reference presents an introduction to the fundamentals of the interdisciplinary field of data science. The coverage spans key concepts from statistics, machine/deep learning and responsible data science, useful techniques for network analysis and natural language processing, and practical applications of data science such as recommender systems or sentiment analysis. Topics and features: Provides numerous practical case studies using real-world data throughout the book Supports understanding through hands-on experience of solving data science problems using Python Describes concepts, techniques and tools for statistical analysis, machine learning, graph analysis, natural language processing, deep learning and responsible data scienceReviews a range of applications of data science, including recommender systems and sentiment analysis of text data Provides supplementary code resources and data at an associated website This practically-focused textbook provides an ideal introduction to the field for upper-tier undergraduate and beginning graduate students from computer science, mathematics, statistics, and other technical disciplines. The work is also eminently suitable for professionals on continuous education short courses, and to researchers following self-study courses. N° de réf. du vendeur LU-9783031489556
Quantité disponible : 1 disponible(s)
Image d'archives
Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications
Edité par
Springer-Nature New York Inc, 2024
ISBN 10 : 3031489551
ISBN 13 : 9783031489556
Neuf
Paperback
Vendeur : Revaluation Books, Exeter, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : Brand New. 2nd edition. 246 pages. 9.00x5.75x0.50 inches. In Stock. This item is printed on demand. N° de réf. du vendeur __3031489551
Quantité disponible : 1 disponible(s)
Image fournie par le vendeur
Introduction to Data Science : A Python Approach to Concepts, Techniques and Applications
Edité par
Springer International Publishing, 2024
ISBN 10 : 3031489551
ISBN 13 : 9783031489556
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This accessible and classroom-tested textbook/reference presents an introduction to the fundamentals of the interdisciplinary field of data science. The coverage spans key conceptsfrom statistics, machine/deeplearningand responsible data science,useful techniques fornetworkanalysis andnatural language processing,and practical applicationsof data science such as recommender systems or sentiment analysis.Topics and features:Provides numerous practical case studies using real-world data throughout the bookSupports understanding through hands-on experience of solving data science problems using PythonDescribesconcepts,techniques and tools for statistical analysis, machine learning, graph analysis,natural language processing, deep learning andresponsible data scienceReviews a range of applications of data science, including recommender systems and sentiment analysis of text dataProvides supplementary code resources and data at an associated websiteThis practically-focused textbook provides an ideal introduction to the field for upper-tier undergraduate and beginning graduate students from computer science, mathematics, statistics, and other technical disciplines. The work is also eminently suitable for professionals on continuous education short courses, and to researchers following self-study courses. N° de réf. du vendeur 9783031489556
Quantité disponible : 1 disponible(s)