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Can I read Practical Machine Learning and Image Processing : For Facial Recognition, Object Detection, and Pattern Recognition Using Python on EtoBox?

Practical Machine Learning and Image Processing : For Facial Recognition, Object Detection, and Pattern Recognition Using Python by Himanshu Singh is a science book available to read on EtoBox.

What is Practical Machine Learning and Image Processing : For Facial Recognition, Object Detection, and Pattern Recognition Using Python about?

Gain insights into image-processing methodologies and algorithms, using machine learning and neural networks in Python. This book begins with the environment setup, understanding basic image-processing terminology, and exploring Python concepts that will be useful for implementing the algorithms discussed in the book. You will then cover all the core image processing algorithms in detail before moving onto the biggest computer vision library: OpenCV. You’ll see the OpenCV algorithms and how to use them for image processing. The next section looks at advanced machine learning and deep learning methods for image processing and classification. You’ll work with concepts such as pulse coupled neural networks, AdaBoost, XG boost, and convolutional neural networks for image-specific applications. Later you’ll explore how models are made in real time and then deployed using various DevOps tools. All the concepts in __Practical Machine Learning and Image Processing__ are explained using real-life scenarios. After reading this book you will be able to apply image processing techniques and make machine learning models for customized application.**What You Will Learn** * Discover image-process

Who reads Practical Machine Learning and Image Processing : For Facial Recognition, Object Detection, and Pattern Recognition Using Python?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Himanshu Singh
Publisher
Apress : Imprint: Apress
Published
2019
Language
EN
ISBN
9781484241509
Category
science
Subjects
Computer Science, Language Learning, Mathematics
Rating
2.9 / 5 (15 ratings)
Updated
2026-03-14

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