Machine Learning with Open CV and Python – Learn how to learn a machine with OpenCV and Python
OpenCV is a library of programming functions mainly aimed at real-time computer vision. This course will show you how machine learning is a great choice to solve real-world computer vision problems and how you can use OpenCV modules to implement popular machine learning concepts.
The video will teach you how to work with various OpenCV modules for statistical modeling and machine learning. You will start by preparing your data for analysis, learn about supervised and unsupervised learning, and see how to implement them with the help of real-world examples. The course will also show you how you can implement effective models using the popular machine learning techniques such as classification, regression, decision trees, K-nearest neighbors, boosting, and neural networks with the help of C ++ and OpenCV.
Table of Contents:
– Introduction to Machine Learning
– Extracting Features and Preparing the Data
– Classifier and Regression
– Decision Trees and Support Vector Machines
– Neural Networks
– Unsupervised Learning and Introduction to Deep Learning
Manufacturer: Pocket Publishing / Packt Publishing
Teacher: Joe Minichino
Level of training: Elementary, Secondary
Time of training: 1 hour + 30 minutes
File size: 728 MB