{"product_id":"practical-machine-learning-and-image-processing-for-facial-recognition-object-detection-and-pattern-recognition-using-python-paperback","title":"Practical Machine Learning and Image Processing: For Facial Recognition, Object Detection, and Pattern Recognition Using Python - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eHimanshu Singh\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003eGain 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. \u003cbr\u003eThe 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. \u003cbr\u003eAll the concepts in \u003ci\u003ePractical Machine Learning and Image Processing\u003c\/i\u003e 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.\u003cbr\u003e\u003cb\u003eWhat You Will Learn\u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eDiscover image-processing algorithms and their applications using Python\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eExplore image processing using the OpenCV library\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eUse TensorFlow, scikit-learn, NumPy, and other libraries\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eWork with machine learning and deep learning algorithms for image processing\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eApply image-processing techniques to five real-time projects\u003cbr\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\u003cbr\u003e\u003cb\u003eWho This Book Is For\u003c\/b\u003e\u003cbr\u003eData scientists and software developers interested in image processing and computer vision.\u003cbr\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003eGain 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. \u003cbr\u003eThe 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. \u003cbr\u003eAll the concepts in \u003ci\u003ePractical Machine Learning and Image Processing\u003c\/i\u003e 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.\u003cbr\u003eYou will: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eDiscover image-processing algorithms and their applications using Python\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eExplore image processing using the OpenCV library\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eUse TensorFlow, scikit-learn, NumPy, and other libraries\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eWork with machine learning and deep learning algorithms for image processing\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eApply image-processing techniques to five real-time projects\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003eHimanshu 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.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 169\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.4 x 9.21 x 6.14 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e February 27, 2019\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":47212721996025,"sku":"9781484241486","price":70.18,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0789\/2782\/3097\/files\/dU9ia293WUJpVFhPbVJLNnBWNDhQQT09.webp?v=1768095194","url":"https:\/\/bookscloud.io\/products\/practical-machine-learning-and-image-processing-for-facial-recognition-object-detection-and-pattern-recognition-using-python-paperback","provider":"BooksCloud Book Dropshipping","version":"1.0","type":"link"}