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Introduction to data science and machine learning / Keshav Sud (2020)  

Public Titre : Introduction to data science and machine learning Type de document : Monographie Auteurs : Keshav Sud, Éditeur scientifique ; Pakize Erdogmus, Éditeur scientifique ; Seifedine Kadry, Éditeur scientifique Editeur : London [UK] : IntechOpen Année de publication : 2020 Importance : 236 p. Format : 16 x 24 cm ISBN/ISSN/EAN : 978-1-83880-371-1 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Intelligence artificielle [Termes IGN] analyse de groupement [Termes IGN] apprentissage automatique [Termes IGN] classification par nuées dynamiques [Termes IGN] langage à objets [Termes IGN] logique floue [Termes IGN] métadonnées [Termes IGN] optimisation (mathématiques) [Termes IGN] Python (langage de programmation) [Termes IGN] segmentation d'image Résumé : (éditeur) “Introduction to Data Science and Machine Learning” has been created with the goal to provide beginners seeking to learn about data science, data enthusiasts, and experienced data professionals with a deep understanding of data science application development using open-source programming from start to finish. This book is divided into four sections: the first section contains an introduction to the book, the second covers the field of data science, software development, and open-source based embedded hardware; the third section covers algorithms that are the decision engines for data science applications; and the final section brings together the concepts shared in the first three sections and provides several examples of data science applications. Note de contenu : 1- Introductory chapter: clustering with nature-inspired optimization algorithms 2- Best practices in accelerating the data science process in python 3- Software design for success 4- Embedded systems based on open source platforms 5- The K-means algorithm evolution 6- “Set of strings” framework for big data modeling 7- Investigation of fuzzy inductive modeling method in forecasting problems 8- Segmenting images using hybridization of K-means and fuzzy C-means algorithms 9- The software to the soft target assessment 10- The methodological standard to the assessment of the traffic simulation in real time 11- Augmented post systems: Syntax, semantics, and applications 12- Serialization in object-oriented programming languages Numéro de notice : 28388 Affiliation des auteurs : non IGN Thématique : INFORMATIQUE Nature : Recueil / ouvrage collectif DOI : 10.5772/intechopen.77469 En ligne : https://doi.org/10.5772/intechopen.77469 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=98687