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Implement NLP use‑cases using BERT : explore the implementation of NLP tasks using the deep learning framework and Python / Amandeep.

By: Material type: TextTextPublisher: New Delhi : BPB Publications, 2021Edition: 1st editionDescription: 164 pages : illustrations ; 23 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9789390684625
Subject(s): DDC classification:
  • 23 006.3 A.M.A
Contents:
Chapter 1: Introduction to NLP and Use‑Cases ‡ 2: Text Classification Methods ‡ 3: Named Entity Recognition ‡ 4: BERT Overview and Applications ‡ 5: BERT for Text Classification ‡ 6: BERT Code Implementation.
Summary: Aimed at data scientists and ML engineers, this book offers a practical guide to implementing real‑world NLP applications using BERT and Python. Contains clear explanations and Python code examples.:contentReference[oaicite:1]{index=1}
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Holdings
Item type Current library Call number Copy number Status Date due Barcode Item holds
Books Books Media and mass communication Library B4 006.3 A.M.A C.1 Available MA0002507
Total holds: 0

Includes bibliographical reference.

Chapter 1: Introduction to NLP and Use‑Cases ‡ 2: Text Classification Methods ‡ 3: Named Entity Recognition ‡ 4: BERT Overview and Applications ‡ 5: BERT for Text Classification ‡ 6: BERT Code Implementation.

Aimed at data scientists and ML engineers, this book offers a practical guide to implementing real‑world NLP applications using BERT and Python. Contains clear explanations and Python code examples.:contentReference[oaicite:1]{index=1}

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