Jump To : Overview | Titles | Subjects

Gupta, Deepti.

Overview

Works:	1 works in 4 publications in 1 languages

Titles

Applied analytics through case studies using SAS and R = implementing predictive models and machine learning techniques / by: Gupta, Deepti.; SpringerLink (Online service) (Language materials, printed)

Functional Textiles and Clothing by: Gupta, Sanjay.; Gupta, Deepti.; Majumdar, Abhijit.; SpringerLink (Online service) (Language materials, printed) , [http://id.loc.gov/vocabulary/relators/edt]

Anthropometry, apparel sizing and design by: Zakaria, Norsaadah.; Textile Institute (Manchester, England); Gupta, Deepti. (Language materials, printed)

Functional textiles and clothing by: Gupta, Sanjay.; Gupta, Deepti.; Majumdar, Abhijit.; SpringerLink (Online service) (Language materials, printed)

The English paradigm in India = essays in language, literature and culture / by: Garg, Shweta Rao.; Gupta, Deepti.; SpringerLink (Online service) (Language materials, printed)

Functional Textiles and Clothing 2020 by: Majumdar, Abhijit.; SpringerLink (Online service); Gupta, Sanjay.; Gupta, Deepti. (Language materials, printed) , [http://id.loc.gov/vocabulary/relators/edt]

Applied Analytics through Case Studies Using SAS and R = Implementing Predictive Models and Machine Learning Techniques / by: SpringerLink (Online service); Gupta, Deepti. (Language materials, printed) , [http://id.loc.gov/vocabulary/relators/aut]

Subjects

Indic literature Comparative Literature. Dressmaking Literature. Machine learning. Textile industry. Clothing and dress measurements. Computer programming. Culture and Gender. Engineering—Materials. R (Computer program language) Manufacturing, Machines, Tools, Processes. Asian Culture. Indic literature (English) Business Mathematics. Textile Engineering. Anthropometry. Tailoring Manufactures. Textile fabrics Open Source. Materials Engineering. Business mathematics. Open source software. Computer Science. Characterization and Evaluation of Materials. Cultural Studies. Big Data. Probability and Statistics in Computer Science. Mathematical statistics. Business enterprises Materials science. Big data.