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14:33:55 Packt Machine Learning with Open CV and Python

Packt Machine Learning with Open CV and Python Analyze and understand your data with the power and simplicity of Python Released Date : February 15, 2017 Duration : 1 hours 35 minutes 12 lectures Included Code Files Language : English Size : 655,15 Mb What You Will Learn Master Logistic Regression and regularization techniques Understand supervised and unsupervised machine learning algorithms Implement OpenCV's functionalities in machine learning algorithms Solve image segmentation problem using K-Means Clustering Get to know the key elements of a neural network and deep learning and its ability to learn Load models trained with popular deep learning libraries such as Caffe OpenCV is a library of programming functions mainly aimed at real-time computer vision. This course will show you how machine learning is great choice to solve real-word computer vision problems and how you can use the OpenCV modules to implement the popular machine learning concepts. The video will teach you how to work with the various OpenCV modules for statistical modelling and machine learning. You will start by preparing your data for analysis, learn about supervised and unsupervised learning, and see how to implement them with the help of real-world examples. The course will also show you how you can implement efficient models using the popular machine learning techniques such as classification, regression, decision trees, K-nearest neighbors, boosting, and neural networks with the aid of C++ and OpenCV. Style and Approach This course is a unique blend of theory and real-world practical examples to help you understand how OpenCV can be used in machine learning. Every topic is covered in depth and focuses on answering the whys along with the hows. Requirements Some understanding of statistical concepts would be helpful, but is not mandatory. Who this course is for: If you have a basic working knowledge of computer vision and OpenCV, and want to perform machine learning with OpenCV, this course is for you. https://www.filefactory.com/file/1hl0r0n4gczz/ DOWNLOAD Code Files https://www.filefactory.com/file/4ihuisik3rd5/

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