Data Science and Machine Learning (Theory and Projects) A to Z - Feature Engineering: Derived Features Histogram of Grad

Data Science and Machine Learning (Theory and Projects) A to Z - Feature Engineering: Derived Features Histogram of Grad

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Information Technology (IT), Architecture

University

Hard

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The video tutorial discusses traditional and modern methods of feature extraction in image processing. It covers Histogram of Oriented Gradients (HOG) and Local Binary Patterns (LBP) as traditional methods, explaining their processes and applications. The tutorial also highlights the impact of deep neural networks (DNNs) in automating feature extraction, reducing the need for manual feature design. The video concludes with a brief mention of upcoming topics on data preprocessing.

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OPEN ENDED QUESTION

3 mins • 1 pt

What new insight or understanding did you gain from this video?

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