Title: Machine Learning for the Physical Sciences : Fundamentals and Prototyping with Julia

Title
Machine Learning for the Physical Sciences : Fundamentals and Prototyping with Julia
Package
Taylor & Francis - HBZ Consortia Package
Platform
Taylor & Francis eBooks
URL
https://www.taylorfrancis.com/books/9781003350101 
Status
Current
Publication Type
Monograph
Medium
Book
Language
First Author
Requião da Cunha, Carlo
First Editor
Empty
Publisher Name
CRC Press
Date First in Print
2023-12-11
Date First Online
2023-12-11
Access Start Date
2022-11-14
Access End Date
2024-12-31
Volume Number
Empty
Edition Statement
Empty
Access Type
Paid
Note
Empty
Last Changed External
2024-08-26

Curated By

Date Created
2023-12-24 20:11:46
Last Updated
2024-08-26 21:42:38
UUID
678333f1-72af-4472-8dd6-07400776d8b0
Identifier Namespace Name Identifier Namespace Value Identifier
DOI doi 10.1201/9781003350101  
eISBN eisbn 9781003350101
ISBN isbn 9781032392295
Title_ID title_id 10.1201/9781003350101
Subject Area
Computer Science,Engineering & Technology,Physical Sciences
Dewey Decimal Classification
Series
Empty
Parent publication title ID
Empty
Superseding publication title ID
Empty
Preceding publication title ID
Empty
Open Access
Empty
Price Type Value Currency
list 250.0 EUR
list 330.0 USD
list 250.0 GBP


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