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Data Labeling in Machine Learning with Python

You're reading from   Data Labeling in Machine Learning with Python Explore modern ways to prepare labeled data for training and fine-tuning ML and generative AI models

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Product type Paperback
Published in Jan 2024
Publisher Packt
ISBN-13 9781804610541
Length 398 pages
Edition 1st Edition
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Author (1):
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Vijaya Kumar Suda Vijaya Kumar Suda
Author Profile Icon Vijaya Kumar Suda
Vijaya Kumar Suda
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Table of Contents (18) Chapters Close

Preface 1. Part 1: Labeling Tabular Data
2. Chapter 1: Exploring Data for Machine Learning FREE CHAPTER 3. Chapter 2: Labeling Data for Classification 4. Chapter 3: Labeling Data for Regression 5. Part 2: Labeling Image Data
6. Chapter 4: Exploring Image Data 7. Chapter 5: Labeling Image Data Using Rules 8. Chapter 6: Labeling Image Data Using Data Augmentation 9. Part 3: Labeling Text, Audio, and Video Data
10. Chapter 7: Labeling Text Data 11. Chapter 8: Exploring Video Data 12. Chapter 9: Labeling Video Data 13. Chapter 10: Exploring Audio Data 14. Chapter 11: Labeling Audio Data 15. Chapter 12: Hands-On Exploring Data Labeling Tools 16. Index 17. Other Books You May Enjoy

Exploring Audio Data

Imagine a world without music, without the sound of your favorite movie’s dialog, or without the soothing tones of a friend’s voice on a phone call. Sound is not just background noise; it’s a fundamental part of our lives, shaping our emotions, experiences, and memories. But have you ever wondered about the untapped potential hidden within the waves of sound?

Welcome to the realm of audio data analysis, a fascinating journey that takes you deep into the heart of sound. In this chapter, we’ll embark on an exploration of the power of sound in the context of machine learning. We’ll unveil the secrets of extracting knowledge from audio, turning seemingly random vibrations in the air into structured data that machines can understand, interpret, and even make predictions from.

In the era of artificial intelligence and machine learning, audio data analysis has emerged as a transformative force. Whether it’s recognizing speech...

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