Tutta la letteratura del corso di cui hai bisogno per gli studi in Data & AI. Qui troverai un'ampia selezione di e-book in Data & AI. Non trovi quello che cerchi? Cerca per ISBN, titolo o autore.
4842 Libri
OpenGL Data Visualization Cookbook
282 kr
Splunk Essentials
Betsy Page Sigman, Erickson Delgado, Somesh Soni
226 kr
Geospatial Development By Example with Python
Pablo Carreira
R Data Science Essentials
200 kr
F# for Machine Learning Essentials
Sudipta Mukherjee
Hands-On Deep Learning with TensorFlow
Dan Van Boxel
Fast Data Processing Systems with SMACK Stack
Raúl Estrada
Mastering Redis
Jeremy Nelson, Vidyasagar N V
313 kr
Java Deep Learning Essentials
Yusuke Sugomori
Apache Spark 2.x for Java Developers
Sourav Gulati, Sumit Kumar
Learning Informatica PowerCenter 10.x
Rahul Malewar
Elasticsearch Server - Third Edition
Marek Rogozinski, Rafal Kuc
Bayesian Analysis with Python
Mastering SciPy
Francisco Javier Blanco-Silva, Francisco Javier B Silva
256 kr
Facet Analysis
Vanda Broughton
856 kr
From Cataloguing to Metadata Creation
Mauro Guerrini
391 kr
Data-Driven Decisions
Amy Stubbing
511 kr
Between the Spreadsheets
Susan Walsh
403 kr
Practical Data Science for Information Professionals
David Stuart
640 kr
Exploring Research Data Management
Andrew Cox, Eddy Verbaan
767 kr
The No-nonsense Guide to Born-digital Content
Heather Bowden, Walker Sampson
Metadata for Information Management and Retrieval
David Haynes
The Data Librarian’s Handbook
John Southall, Robin Rice
Practical Ontologies for Information Professionals
831 kr