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

Name: Practical Machine Learning and Image Processing: For Facial Recognition, Object Detection, and Pattern Recognition Using Python
Brand: Apress
SKU: 9781484241486
Price: 46.99 USD
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Availability: In Stock

Contributors:

Himanshu Singh

Publisher:

Apress

Binding:

Paperback

Book Category:

Computers

Book Subcategory:

Computer Science, Languages, Programming

Book Topic:

Python, Open Source

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The product is eligible for a complimentary return within 30 days from the date of purchase. Furthermore, individual items are shipped within 24 hours of receiving the order.

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Specifications +

Release Date:

2019-02-27

ISBN 13:

9781484241486

Weight:

0.6 lbs

Size:

9.21 x 6.14 x 0.40 inches

Pages:

169

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product description

Description

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 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 Learn

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

Who This Book Is For
Data scientists and software developers interested in image processing and computer vision.

About the Author
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. He's 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.

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

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