A full university-level machine learning course – for free. New lectures every week.

Designed as a first course for engineers, program managers, and data professionals who want to learn: the details of important machine learning algorithms; professional model building; and design patterns for building practical machine learning systems.

This lecture covers: Types of computer vision, localization, segmentation, image basics, image pipeline, image features, region of interest, gradients, convolutions, sobel edge detection, wavelets.

And you can view the entire course in this playlist: https://www.youtube.com/playlist?list=PLrQmbzbRJ5mwDinvDEJ5B-KDZlPM-sCYO

Learn more (and find slides for this lecture) at: www.livingmachinelearning.com/course.html

Learn about machine learning UX for your intelligent systems.

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