Practical Machine Learning and Image Processing: For Facial Recognition, Object

Description: Practical Machine Learning and Image Processing by Himanshu Singh 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. Youll 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. Youll work with concepts such as pulse coupled neural networks, AdaBoost, XG boost, and convolutional neural networks for image-specific applications. Later youll explore how models are made in real time and then deployed using various DevOps tools. All the conceptsin 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 LearnDiscover image-processing algorithms and their applications using PythonExplore image processing using the OpenCV libraryUse TensorFlow, scikit-learn, NumPy, and other librariesWork with machine learning and deep learning algorithms for image processingApply image-processing techniques to five real-time projectsWho This Book Is ForData scientists and software developers interested in image processing and computer vision. FORMAT Paperback LANGUAGE English CONDITION Brand New Back Cover 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. Youll 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. Youll work with concepts such as pulse coupled neural networks, AdaBoost, XG boost, and convolutional neural networks for image-specific applications. Later youll 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. You will: Discover image-processing algorithms and their applications using Python Explore image processing using the OpenCV library Use TensorFlow, scikit-learn, NumPy, and other libraries Work with machine learning and deep learning algorithms for image processing Apply image-processing techniques to five real-time projects Author Biography Himanshu Singh has more than five years of experience as a data science professional. Currently he is senior data scientist at Unify Technologies Private Limited. He gives corporate training on data science, ML, and DL. Hes also a visiting faculty for analytics at the Narsee Monjee Institute of Management Studies, considered one of the premium management institutes in India. He is founder of Black Feathers Analytics and Rise of Literati Clubs. Table of Contents Chapter 1: Installation and Environment SetupChapter 2: Introduction to Python and Image ProcessingChapter 3: Advanced Image Processing using OpenCVChapter 4: Machine Learning Approaches in Image ProcessingChapter 5: Real Time Use CasesChapter 6: Appendix A Feature Covers advanced machine learning and deep learning methods for image processing and classification Explains concepts using real-time use cases such as facial recognition, object detection, self-driving cars, and pattern recognition Includes applications of machine learning and neural networks on processed images Details ISBN1484241487 Author Himanshu Singh Language English Year 2019 ISBN-10 1484241487 ISBN-13 9781484241486 Format Paperback Edition 1st Imprint APress Subtitle For Facial Recognition, Object Detection, and Pattern Recognition Using Python Place of Publication Berkley Country of Publication United States Publication Date 2019-02-27 Pages 169 DEWEY 006.31 Short Title Practical Machine Learning and Image Processing DOI 10.1007/978-1-4842-4149-3 UK Release Date 2019-02-27 AU Release Date 2019-02-27 NZ Release Date 2019-02-27 US Release Date 2019-02-27 Illustrations 14 Illustrations, color; 77 Illustrations, black and white; XV, 169 p. 91 illus., 14 illus. in color. Publisher APress Edition Description 1st ed. Alternative 9781484275146 Audience Professional & Vocational We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:127838597;

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