Preface. 1. Introduction to Machine Learning for Farm Animal Behavior 2. Machine Learning Concepts and Challenges. 3. A Practical Example to Building a Simple Machine Learning Model 4. Sensors, Data Collection, and Annotation 5. Preprocessing and Feature Extraction for Animal Behavior Research 6. Feature Selection Techniques 7. Animal Research: Supervised and Unsupervised Learning Algorithms 8. Evaluation, ...Full description
Preface. 1. Introduction to Machine Learning for Farm Animal Behavior 2. Machine Learning Concepts and Challenges. 3. A Practical Example to Building a Simple Machine Learning Model 4. Sensors, Data Collection, and Annotation 5. Preprocessing and Feature Extraction for Animal Behavior Research 6. Feature Selection Techniques 7. Animal Research: Supervised and Unsupervised Learning Algorithms 8. Evaluation, Model Selection and Hyperparameter Tuning 9. Deep Learning Algorithms for Animal Activity Recognition References