Google quest classification by improving automated understanding of complex contents through machine learning
Faraz Abrar Sahotra (F16A14G05015)
Google quest classification by improving automated understanding of complex contents through machine learning - Faisalabad (unpublished) 2020 - xiii, 72 p. : ill. ; 30 cm.
Submitted in fulfillment of the requirements for the degree of Master of Philosophy in Computer science faulty of Computing
Thesis supervisor: Mr. Muhammad Waleed Ashraf
Includes reference and index.
Thesis (M.Phil)--Riphah International Univeristy, 2020
English
Computer science
Machine learning
Data collection--Google--Classification--Quest--FC
004 / FAR
Google quest classification by improving automated understanding of complex contents through machine learning - Faisalabad (unpublished) 2020 - xiii, 72 p. : ill. ; 30 cm.
Submitted in fulfillment of the requirements for the degree of Master of Philosophy in Computer science faulty of Computing
Thesis supervisor: Mr. Muhammad Waleed Ashraf
Includes reference and index.
Thesis (M.Phil)--Riphah International Univeristy, 2020
English
Computer science
Machine learning
Data collection--Google--Classification--Quest--FC
004 / FAR