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Machine Learning for OpenCV - Supervised Learning

Video Description

Learn the core concepts of the OpenCV and Machine Learning

About This Video

  • Understand, perform, and experiment with Machine Learning techniques using this easy-to-follow guide
  • Grasp the fundamental concepts of classification, regression, and clustering
  • Evaluate, compare, and choose the right algorithm for any task
  • Load, store, edit, and visualize data using OpenCV and Python

In Detail

Computer vision is one of today's most exciting application fields of Machine Learning, From self-driving cars to Medical diagnosis, this has been widely used in various domains.

This course will take you right from the essential concepts of statistical learning to help you with various algorithms to implement it with other OpenCV tasks.

The course will also guide you through creating custom graphs and visualizations, and show you how to go from the raw data to beautiful visualizations. We will also build a machine learning system that can make a medical diagnosis.

By the end of this course, you will be ready create your own ML system and will also be able to take on your own machine learning problems.

All the code and supporting files for this course are available on Github at https://github.com/PacktPublishing/Machine-Learning-for-OpenCV-Supervised-Learning