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

Product typeBook
Published inJan 2024
PublisherPackt
ISBN-139781804610541
Edition1st Edition
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Author (1)
Vijaya Kumar Suda
Vijaya Kumar Suda
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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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Part 2: Labeling Image Data

In this part of the book, you will learn how to analyze image data, extract features from images, and label images using Python libraries such as Snorkel. The content also covers various methods of image data augmentation, along with the utilization of support vector machine (SVM), convolutional neural network (CNN), and pre-trained models such as YOLO for image classification and labeling.

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Data Labeling in Machine Learning with Python
Published in: Jan 2024Publisher: PacktISBN-13: 9781804610541
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Author (1)

author image
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