Now, let's turn our attention to a regression problem. As I'm sure you can recite in your sleep by now, regression is all about predicting continuous outcomes rather than predicting discrete class labels.
Using regression models to predict continuous outcomes
by Michael Beyeler, Vishwesh Ravi Shrimali, Aditya Sharma
Machine Learning for OpenCV 4 - Second Edition
- Title Page
- Copyright and Credits
- About Packt
- Contributors
- Preface
- Section 1: Fundamentals of Machine Learning and OpenCV
- A Taste of Machine Learning
- Working with Data in OpenCV
- Technical requirements
- Understanding the machine learning workflow
- Dealing with data using OpenCV and Python
- Summary
- First Steps in Supervised Learning
- Representing Data and Engineering Features
- Section 2: Operations with OpenCV
- Using Decision Trees to Make a Medical Diagnosis
- Technical requirements
- Understanding decision trees
- Using decision trees to diagnose breast cancer
- Using decision trees for regression
- Summary
- Detecting Pedestrians with Support Vector Machines
- Implementing a Spam Filter with Bayesian Learning
- Discovering Hidden Structures with Unsupervised Learning
- Technical requirements
- Understanding unsupervised learning
- Understanding k-means clustering
- Understanding expectation-maximization
- Compressing color spaces using k-means
- Classifying handwritten digits using k-means
- Organizing clusters as a hierarchical tree
- Summary
- Section 3: Advanced Machine Learning with OpenCV
- Using Deep Learning to Classify Handwritten Digits
- Ensemble Methods for Classification
- Selecting the Right Model with Hyperparameter Tuning
- Technical requirements
- Evaluating a model
- Understanding cross-validation
- Estimating robustness using bootstrapping
- Assessing the significance of our results
- Tuning hyperparameters with grid search
- Scoring models using different evaluation metrics
- Chaining algorithms together to form a pipeline
- Summary
- Using OpenVINO with OpenCV
- Conclusion
- Other Books You May Enjoy
Using regression models to predict continuous outcomes
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