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Learning.OpenCV.3.Computer.Vision.with.Python.2nd
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Grasp the basics of image processing and video analysis
Identify and recognize objects in images and videos
Detect and recognize faces using OpenCV
Train and use your own object classifiers
Learn about machine learning concepts in a computer ...
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JIT实施手册
... and the rules and procedures for changeover improvement and covers quality assurance in the context of level production, including how to recognize structures that create defects, plan for achieving zero defects, and make use of mistake-proofing devices.
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OpenCV By Example
... Computer Vision projects using OpenCV 3This book takes a special focus on working with Tesseract OCR, a free, open-source library to recognize text in images, Who This Book Is For, If you are a software developer with a basic understanding of Computer ...
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Introduction To Machine Learning
... successful applications of machine learning exist already, including systems that analyze past sales data to predict customer behavior, recognize faces or spoken speech, optimize robot behavior so that a task can be completed using minimum resources, and ...
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Learn Computer Science with Swift
... how to think computationally: to formulate a computational problem and recognize patterns and ways to validate it. Then jump ahead ... and how UI and code relate.
What You’ll Learn
Recognize patterns and use abstractions
Build code into reusable frameworks
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Practical.Machine.Learning.with.Python
Master the essential skills needed to recognize and solve complex problems with machine learning and deep learning. Using real-world examples that leverage the popular Python machine learning ecosystem, this book is your perfect companion for learning the ...
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Practical Machine Learning with Python-Apress(2017).pdf
... with concepts, methodologies, hands-on examples, and code. This book helps its readers master the essential skills needed to recognize and solve complex problems with Machine Learning and Deep Learning by following a data-driven mindset. Using real-world ...
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Coders at Work
... Seibel focuses on how his interviewees tackle the day-to-day work of programming, while revealing much more, like how they became great programmers, how they recognize programming talent in others, and what kinds of problems they find most interesting.
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Internet of Things (IoT)-CRC(2018).pdf
... creation of new ecosystems that enable higher productivity, better energy ef ciency, and higher pro tability. Sensors help to recognize the state of things, by which they gain the advantage of anticipating human needs based on the information collected ...
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