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Analyze and understand your data with the power and simplicity of Python.


Course Description

OpenCV is a library of programming functions mainly aimed at real-time computer vision. This course will show you how machine learning is great choice to solve real-word computer vision problems and how you can use the OpenCV modules to implement the popular machine learning concepts.
The course will teach you how to work with the various OpenCV modules for statistical modelling 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 efficient models using the popular machine learning techniques such as classification, regression, decision trees, K-nearest neighbors, boosting, and neural networks with the aid of C++ and OpenCV.

Learning Outcomes

Master Logistic Regression and regularization techniques
Understand supervised and unsupervised machine learning algorithms
Implement OpenCV’s functionalities in machine learning algorithms
Solve image segmentation problem using K-Means Clustering
Get to know the key elements of a neural network and deep learning and its ability to learn
Load models trained with popular deep learning libraries such as Caffe

Pre-requisite

Prior knowledge of computer vision and OpenCV is required.


Who is this course intended for?

If you have a basic working knowledge of computer vision and OpenCV, and want to perform machine learning with OpenCV, this course is for you. Some understanding of statistical concepts would be helpful, but is not mandatory.

Your Instructor

Packt Publishing

Packt has been committed to developer learning since 2004. A lot has changed in software since then – but Packt has remained responsive to these changes, continuing to look forward at the trends and tools defining the way we work and live. And how to put them to work.

With an extensive library of content – more than 4000 books and video courses -Packt’s mission is to help developers stay relevant in a rapidly changing world. From new web frameworks and programming languages to cutting-edge data analytics, and DevOps, Packt takes software professionals in every field to what’s important to them now.

From skills that will help you to develop and future-proof your career to immediate solutions to everyday tech challenges, Packt is a go-to resource to make you a better, smarter developer.

Course Curriculum

Introduction to Machine Learning
The Course Overview 00:00:00
The Basics of Machine Learning 00:00:00
Extracting Features and Preparing the Data
Creating Training Data and Extracting Information 00:00:00
Extracting Features 00:00:00
Classifier and Regression
K-Nearest Neighbors 00:00:00
Logistic Regression 00:00:00
Normal Bayes Classifier 00:00:00
Decision Trees and Support Vector Machines
Decision Trees 00:00:00
Support Vector Machines 00:00:00
Neural Networks
Artificial Neural Networks 00:00:00
Unsupervised Learning and Introduction to Deep Learning
Unsupervised Learning 00:00:00
Deep Learning 00:00:00

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