Machine Learning for OpenCV 4 – Second Edition

With Machine Learning for OpenCV 4 – Second Edition, gain insights into machine learning algorithms, and implement them using OpenCV 4 and scikit-learn. Get up to speed with Intel OpenVINO and its integration with OpenCV 4. (Limited-time offer)

Table of Contents

• A Taste of Machine Learning
• Working with Data in 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 Hyperparameter Tuning
• Using OpenVINO with OpenCV
• Conclusion

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