Machine Learning in Farm Animal Behavior using Python (Hardcover, 1)

Preface. Introduction to Machine Learning for Farm Animal Behavior. Machine Learning Concepts and Challenges. ?A Practical Example to Building a Simple Machine Learning Model. Sensors, Data Collection, and Annotation. Preprocessing and Feature Extraction for Animal Behavior Research. Feature Selection Techniques. Animal research: Supervised and Unsupervised Learning Algorithms. Evaluation, Model Selection and Hyperparameter Tuning. Deep Learning Algorithms for Animal Activity Recognition. Reference.

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