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Michael Beyeler Machine Learning for OpenCV (Digital) (UK IMPORT)

Description: Further DetailsTitle: Machine Learning for OpenCVCondition: NewFormat: DigitalEAN: 9781783980284Language: EnglishISBN-10: 1783980281ISBN: 9781783980284Release Date: 04/02/2023Author: Michael BeyelerItem Length: 20mmItem Height: 235mmType: AI & Machine LearningPublisher: Packt Publishing LimitedDescription: Expand your OpenCV knowledge and master key concepts of machine learning using this practical, hands-on guide.About This Book• Load, store, edit, and visualize data using OpenCV and Python• Grasp the fundamental concepts of classification, regression, and clustering• Understand, perform, and experiment with machine learning techniques using this easy-to-follow guide• Evaluate, compare, and choose the right algorithm for any taskWho This Book Is ForThis book targets Python programmers who are already familiar with OpenCV; this book will give you the tools and understanding required to build your own machine learning systems, tailored to practical real-world tasks.What You Will Learn• Explore and make effective use of OpenCV's machine learning module• Learn deep learning for computer vision with Python• Master linear regression and regularization techniques• Classify objects such as flower species, handwritten digits, and pedestrians• Explore the effective use of support vector machines, boosted decision trees, and random forests• Get acquainted with neural networks and Deep Learning to address real-world problems• Discover hidden structures in your data using k-means clustering• Get to grips with data pre-processing and feature engineeringIn DetailMachine learning is no longer just a buzzword, it is all around us: from protecting your email, to automatically tagging friends in pictures, to predicting what movies you like. Computer vision is one of today's most exciting application fields of machine learning, with Deep Learning driving innovative systems such as self-driving cars and Google's DeepMind.OpenCV lies at the intersection of these topics, providing a comprehensive open-source library for classic as well as state-of-the-art computer vision and machine learning algorithms. In combination with Python Anaconda, you will have access to all the open-source computing libraries you could possibly ask for.Machine learning for OpenCV begins by introducing you to the essential concepts of statistical learning, such as classification and regression. Once all the basics are covered, you will start exploring various algorithms such as decision trees, support vector machines, and Bayesian networks, and learn how to combine them with other OpenCV functionality. As the book progresses, so will your machine learning skills, until you are ready to take on today's hottest topic in the field: Deep Learning.By the end of this book, you will be ready to take on your own machine learning problems, either by building on the existing source code or developing your own algorithm from scratch!Style and approachOpenCV machine learning connects the fundamental theoretical principles behind machine learning to their practical applications in a way that focuses on asking and answering the right questions. This book walks you through the key elements of OpenCV and its powerful machine learning classes, while demonstrating how to get to grips with a range of models.Country/Region of Manufacture: GBGenre: Computing & InternetRelease Year: 2023 Missing Information?Please contact us if any details are missing and where possible we will add the information to our listing.

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Michael Beyeler Machine Learning for OpenCV (Digital) (UK IMPORT)

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Book Title: Machine Learning for OpenCV

Title: Machine Learning for OpenCV

EAN: 9781783980284

ISBN-10: 1783980281

ISBN: 9781783980284

Release Date: 04/02/2023

Release Year: 2023

Item Length: 20mm

Item Height: 235mm

Country/Region of Manufacture: GB

Genre: Computing & Internet

Publisher: Packt Publishing, The Limited

Subject: Programming Languages / General, Image Processing, Intelligence (Ai) & Semantics, Neural Networks, Computer Vision & Pattern Recognition, Programming Languages / Python

Publication Year: 2017

Number of Pages: 382 Pages

Language: English

Publication Name: Machine Learning for Opencv

Type: Textbook

Subject Area: Computers

Author: Michael Beyeler

Format: Trade Paperback

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