Data Labeling in Machine Learning with Python
Explore modern ways to prepare labeled data for training and fine-tuning ML and generative AI models
Created by Vijaya Kumar Suda
Unlock the power of data labeling using Python and modern machine learning techniques. Learn how to prepare and annotate diverse data types for smarter model training and fine-tuning. Build practical skills for working with tabular, text, image, audio, and video data.
Packt | Jan 2024 | 398 min
What You Will Learn
You'll start by exploring your data with Python libraries, then move on to practical methods for labeling tabular, text, image, and audio data. Along the way, you'll use heuristics, semi-supervised learning, and data augmentation to improve your datasets. Real-world examples and hands-on exercises help you build confidence with each technique.
Key Features
- Generate accurate labels for regression, classification, and clustering tasks
- Apply Python tools to annotate text, image, audio, and video data efficiently
- Use generative AI and programmatic methods to enhance and expand labeled datasets
Target Audience
Designed for machine learning engineers, data scientists, and Python developers who want to master data labeling. If you're comfortable with Python and eager to improve your model training workflow, you'll find actionable strategies here. No advanced experience required-just curiosity and a willingness to experiment.
