You're reading from Data Labeling in Machine Learning with Python

Product typeBook

Published inJan 2024

PublisherPackt

ISBN-139781804610541

Edition1st Edition

Concepts

Machine Learning

Author (1)

Vijaya Kumar Suda

Part 3: Labeling Text, Audio, and Video Data

In this part of the book, you will explore how to read text, audio, and video data using Python, analyze the data, and extract features. The content delves into various methods for programmatically labeling text, video, and audio data in Python, leveraging OpenAI’s large language models, as well as semi-supervised and unsupervised techniques such as K-means clustering. Additionally, this section aids in understanding different open source data annotation tools such as Label Studio, CVAT, pyOpenAnnotate, and Azure Machine Learning for image, video, audio, and text data, providing a comprehensive comparison between them.

This part comprises the following chapters:

Chapter 7, Labeling Text Data
Chapter 8, Exploring Video Data
Chapter 9, Labeling Video Data
Chapter 10, Exploring Audio Data
Chapter 11, Labeling Audio Data
Chapter 12, Hands-On Exploring Data Labeling Tools

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Author (1)

Vijaya Kumar Suda

Vijaya Kumar Suda is a seasoned data and AI professional boasting over two decades of expertise collaborating with global clients. Having resided and worked in diverse locations such as Switzerland, Belgium, Mexico, Bahrain, India, Canada, and the USA, Vijaya has successfully assisted customers spanning various industries. Currently serving as a senior data and AI consultant at Microsoft, he is instrumental in guiding industry partners through their digital transformation endeavors using cutting-edge cloud technologies and AI capabilities. His proficiency encompasses architecture, data engineering, machine learning, generative AI, and cloud solutions.
Read more about Vijaya Kumar Suda

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