This section focuses on advanced machine learning concepts and how they can be implemented using OpenCV and scikit-learn. We will cover some advanced machine learning concepts, such as decision trees, support vector machines, and Bayesian learning, and then finally move on to discuss the second type of machine learning problems—unsupervised learning.
This section includes the following chapters:
- Chapter 5, Using Decision Trees to Make a Medical Diagnosis
- Chapter 6, Detecting Pedestrians with Support Vector Machines
- Chapter 7, Implementing a Spam Filter with Bayesian Learning
- Chapter 8, Discovering Hidden Structures with Unsupervised Learning
