Natural language processing fundamentals techniques, tools, and applications

This comprehensive course is designed to lay a solid foundation in Natural Language Processing (NLP), a discipline that bridges the gap between human language and computer understanding, and is a cornerstone in the world of data science and artificial intelligence. The ability to analyze and derive...

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Weitere Verfasser: Becker, Lisa (MitwirkendeR)
Format: Elektronisch Video
Sprache:English
Veröffentlicht: [Sebastopol, California] O'Reilly Media, Inc. [2024]
Ausgabe:[First edition].
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MARC

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Datensatz im Suchindex

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spelling Natural language processing fundamentals techniques, tools, and applications
[First edition].
[Sebastopol, California] O'Reilly Media, Inc. [2024]
1 online resource (1 video file (3 hr., 22 min.)) sound, color.
zweidimensionales bewegtes Bild tdi rdacontent
Computermedien c rdamedia
Online-Ressource cr rdacarrier
Online resource; title from title details screen (O'Reilly, viewed June 3, 2024)
This comprehensive course is designed to lay a solid foundation in Natural Language Processing (NLP), a discipline that bridges the gap between human language and computer understanding, and is a cornerstone in the world of data science and artificial intelligence. The ability to analyze and derive meaningful insights from textual data is a highly sought-after skill. This course serves as a bridge for professionals and students to transition into roles that require NLP expertise. With the help of course instructor and NLP specialist, Lisa Becker, learners will acquire skills such as text analysis and feature engineering. They will work with various language models and understand the underlying technologies which will prepare them to tackle real-world challenges and innovate various sectors including healthcare, finance, e-commerce and beyond. This is not just a skill-enhancement course, but a pathway to unlocking a plethora of opportunities in the rapidly expanding field of AI and machine learning by studying the basics of more traditional NLP techniques as well as the big milestones such as transformers and large language models.
Natural language processing (Computer science)
Traitement automatique des langues naturelles
Instructional films
Nonfiction films
Internet videos
Films de formation
Films autres que de fiction
Vidéos sur Internet
Becker, Lisa MitwirkendeR ctb
O'Reilly (Firm), Verlag pbl
TUM01 ZDB-30-ORH TUM_PDA_ORH https://learning.oreilly.com/library/view/-/0790145481825/?ar X:ORHE Aggregator lizenzpflichtig Volltext
spellingShingle Natural language processing fundamentals techniques, tools, and applications
Natural language processing (Computer science)
Traitement automatique des langues naturelles
Instructional films
Nonfiction films
Internet videos
Films de formation
Films autres que de fiction
Vidéos sur Internet
title Natural language processing fundamentals techniques, tools, and applications
title_auth Natural language processing fundamentals techniques, tools, and applications
title_exact_search Natural language processing fundamentals techniques, tools, and applications
title_full Natural language processing fundamentals techniques, tools, and applications
title_fullStr Natural language processing fundamentals techniques, tools, and applications
title_full_unstemmed Natural language processing fundamentals techniques, tools, and applications
title_short Natural language processing fundamentals
title_sort natural language processing fundamentals techniques tools and applications
title_sub techniques, tools, and applications
topic Natural language processing (Computer science)
Traitement automatique des langues naturelles
Instructional films
Nonfiction films
Internet videos
Films de formation
Films autres que de fiction
Vidéos sur Internet
topic_facet Natural language processing (Computer science)
Traitement automatique des langues naturelles
Instructional films
Nonfiction films
Internet videos
Films de formation
Films autres que de fiction
Vidéos sur Internet
url https://learning.oreilly.com/library/view/-/0790145481825/?ar
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