The second edition of my machine learning book, Machine Learning for OpenCV4, is now out!
You can find the book on the official website of Packt Publishing as well as on Amazon.
This is an introductory book for folks who are already familiar with OpenCV, but now want to dive into the world of machine learning. The goal is to illustrate the fundamental machine learning concepts using practical, hands-on examples.
The outline of the book is as follows:
- A Taste of Machine Learning
- Working with Data Using OpenCV
- First Steps in Supervised Learning
- Representing Data and Engineering Features
- Using Decision Trees to Make a Medical Diagnosis
- Detecting Pedestrians with Support Vector Machines
- Implementing a Spam Filter with Bayesian Learning
- Discovering Hidden Structures with Unsupervised Learning
- Using Deep Learning to Classify Handwritten Digits
- Ensemble Methods for Classification
- Selecting the Right Model with Hyper-Parameter Tuning
- Using OpenVINO with OpenCV
- Conclusion
