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kleanthous n machine learning farm animal behavior using python 2025

Type:: E-books
Files:: 1
Size:: 16.9 MB
Uploaded On:: Dec. 19, 2024, 10:05 a.m.
Added By:: andryold1
Seeders:: 2
Leechers:: 2
Info Hash:: 2FEE2CF7E29A23DDD3534E165A833FEE620FDBB1

Textbook in PDF format This book is a comprehensive guide to applying machine learning to animal behavior analysis, focusing on activity recognition in farm animals. It begins by introducing key concepts of animal behavior and ethology, followed by an exploration of machine learning techniques, including supervised, unsupervised, semi-supervised, and reinforcement learning. The practical section covers essential steps like data collection, preprocessing, exploratory data analysis, feature extraction, model training, and evaluation, using Python. The book emphasizes the importance of high-quality data and discusses various sensors and annotation methods for effective data collection. It addresses key machine learning challenges such as generalization and data issues. Advanced topics include feature selection, model selection, hyperparameter tuning, and deep learning algorithms. Practical examples and Python implementations are provided throughout, offering hands-on experience for researchers, students, and professionals aiming to apply machine learning to animal behavior analysis

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Kleanthous N. Machine Learning in Farm Animal Behavior using Python 2025.pdf 16.9 MB

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kleanthous n machine learning farm animal behavior using python 2025

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