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Machine Learning for OpenCV – Advanced Methods and Deep Learning

Video Description

A practical introduction to the world of machine learning and image processing using OpenCV and Python

About This Video

  • Understand, perform, and experiment with machine learning techniques using this easy-to-follow guide
  • Grasp the advanced concepts of bootstrapping, boosting, voting, and bagging
  • 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, computer vision has been widely used in various domains.

This course will cover essential concepts such as classifiers and clustering and will also help you get acquainted with neural networks and Deep Learning to address real-world problems.

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

The course will also guide you through creating custom graphs and visualizations, and show you how to go from raw data to beautiful visualizations. By the end of this course, you will be ready to create your own ML system and will also be able to take on your own machine learning problems.