Mastering natural language processing. Part 1, NLP fundamental principles and applications.

Format:

Video

Contributor:

Landau, Charles, instructor.

Apress (Firm), publisher.

Language:

English

Subjects (All):

Natural language processing (Computer science).

Physical Description:

1 online resource (1 video file (18 min.)) : sound, color.

Edition:

[First edition].

Place of Publication:

[New York, New York] : Apress, [2024]

Summary:

Mastering Natural Language Processing Part 1 explores the evolution, fundamentals, and responsible use of Natural Language Processing (NLP), encompassing practical applications and techniques in Python. The course starts with an insightful exploration of NLP's history, tracing its evolution from rule-based approaches to the current era of deep learning and large language models. This segment unveils the transformative impact of cutting-edge technologies that have significantly shaped the NLP landscape, ushering in a new era of sophisticated language understanding. The course then delves into practical applications of NLP, focusing on Python implementations. Viewers will explore diverse use cases, including text summarization, machine translation, information extraction, and question-answering. As the course progresses, it concludes by unpacking the basics of NLP, covering essential topics such as string manipulation, token understanding, and intent recognition. Upon completion, viewers will fully understand NLP concepts, techniques, and applications, empowering them to address real-world challenges in natural language processing. What you will learn: Understand the historical development of Natural Language Processing, from rule-based approaches to the contemporary era of deep learning and large language models. Explore the transformative impact of cutting-edge technologies that have significantly shaped the NLP landscape Learn practical applications of NLP with a focus on Python implementations Gain insights into the fundamental principles of NLP, covering essential topics such as string manipulation, token understanding, and intent recognition. Who this video is for: Data scientists, AI practitioners, IT and technology professionals, academics and researchers, and consultants.

Notes:

OCLC-licensed vendor bibliographic record.

ISBN:

9798868805509

OCLC:

1454138138