Practical Data Science for Information Professionals
Autor David Stuarten Limba Engleză Paperback – 31 iul 2019
Data science has a wide range of applications within the information profession, from working alongside researchers in the discovery of new knowledge, to the application of business analytics for the smoother running of a library or library services. Practical Data Science for Information Professionals provides an accessible introduction to data science, using detailed examples and analysis on real data sets to explore the basics of the subject.
This book will be of interest to all types of libraries around the world, from large academic libraries to small research libraries. By focusing on the application of open source software, the book aims to reduce barriers for readers to use the lessons learned within.
Toate formatele și edițiile | Preț | Express |
---|---|---|
Paperback (1) | 349.26 lei 3-5 săpt. | |
Facet Publishing – 31 iul 2019 | 349.26 lei 3-5 săpt. | |
Hardback (1) | 593.57 lei 3-5 săpt. | |
Facet Publishing – 31 iul 2019 | 593.57 lei 3-5 săpt. |
Preț: 349.26 lei
Nou
Puncte Express: 524
Preț estimativ în valută:
66.83€ • 70.58$ • 55.62£
66.83€ • 70.58$ • 55.62£
Carte disponibilă
Livrare economică 21 decembrie 24 - 04 ianuarie 25
Preluare comenzi: 021 569.72.76
Specificații
ISBN-13: 9781783303441
ISBN-10: 1783303441
Pagini: 208
Dimensiuni: 156 x 234 x 13 mm
Greutate: 0.3 kg
Ediția:1
Editura: Facet Publishing
Colecția Facet Publishing
ISBN-10: 1783303441
Pagini: 208
Dimensiuni: 156 x 234 x 13 mm
Greutate: 0.3 kg
Ediția:1
Editura: Facet Publishing
Colecția Facet Publishing
Public țintă
Professional Practice & DevelopmentCuprins
1. What is an Ontology? 2. Ontologies and the Semantic Web 3. Existing Ontologies 4. Adopting Ontologies 5. Building Ontologies 6. Interrogating Ontologies 7. The Future of Ontologies and the Information Professional
Descriere
Practical Data Science for Information Professionals provides an accessible introduction to data science, using detailed examples and analysis on real data sets to explore the basics of the subject. By focusing on the application of open source software, the book aims to reduce barriers for readers to use the lessons learned within.