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181.
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Deep learning for natural language processing. by
Edition: First edition.
Material type: Text; Format:
available online
; Literary form:
Not fiction
Publisher: Shelter Island, NY : Manning Publications Co., ©2022
Availability: Items available for loan: Junaid Zaidi Library, COMSATS University Islamabad (1)Call number: 006.31 BAL-D 63278.
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184.
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185.
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Deep learning for engineers / Tariq M. Arif, Md Adilur Rahim. by
Edition: First edition.
Material type: Text; Format:
print
; Literary form:
Not fiction
Publisher: Boca Raton : CRC Press/Taylor & Francis Group, 2024
Availability: Items available for loan: COMSATS University Abbottabad, Dhamtor Campus (1).
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Deep learning and scientific computing with R torch / Sigrid Keydana. by
Edition: First edition.
Material type: Text; Format:
available online
; Literary form:
Not fiction
Publication details: Boca Raton : CRC Press, ©2023
Availability: Items available for loan: Junaid Zaidi Library, COMSATS University Islamabad (1)Call number: 006.31 KEY-D 63277.
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Cryptocurrency price prediction using machine learning techniques / Nimra Riaz. [Thesis or Dissertation] by
Material type: Text Language: English
Publication details: Islamabad : COMSATS University Islamabad, 2022
Dissertation note: Thesis A Post Graduate thesis submitted to the department of Mathematics as a partial fulfillment of the requirement for the award of degree of MS in Mathematics. External Examiner: Muhammad Yaqub Khan, Dr. Prof, Mathematics, Riphah International University, Islamabad. COMSATS University Islamabad
Availability: Items available for loan: Junaid Zaidi Library, COMSATS University Islamabad (1)Call number: T 510 RIA-C 12098. Items available for reference: Junaid Zaidi Library, COMSATS University Islamabad: Not for loan (1)Call number: T 510 RIA-C 12098.
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Contextual Hate Speech over Social Media using Machine Learning and Deep Learning by
Material type: Text; Format:
print
; Literary form:
Not fiction
Publication details: COMSATS University Islamabad, Lahore Campus Library Information Services, CUI Lahore 2023
Dissertation note: To fullfill the requirement of the degree MS 2023 Computer Science COMSATS University Islamabad, Lahore campus FA20-RCS-002
Availability: Items available for reference: COMSATS University Lahore Campus: Not for loan (1)Call number: 004.
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