In the second course of the Computer Vision for Engineering and Science specialization, you will perform two of the most common computer vision tasks: classifying images and detecting objects. You will apply the entire machine learning workflow, from preparing your data to evaluating your results. By the end of this course, you’ll train machine learning models to classify images of street signs and detect material defects.
Machine Learning for Computer Vision
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Machine Learning for Computer Vision
This course is part of multiple programs.
Instructors: Amanda Wang
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23 reviews
Beginner level
Recommended experience
1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Prepare data and create features for classifying images
Train & evaluate models to classify images using
Train & evaluate object detection machine learning models
Customize model training for different applications using cost matrices
Skills you'll gain
Tools you'll learn
Details to know
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Assessments
12 assignments
Taught in English
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There are 4 modules in this course
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SV
Reviewed on Mar 25, 2025
Excellent course to learn ML fundamentals in computer vision field.
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