Publicado por Continental Academy Press, London
Librería: Continental Academy Press, London, SELEC, Reino Unido
EUR 12,45
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Añadir al carritoSoftcover. Condición: New. Estado de la sobrecubierta: no dj. First. Statistical Techniques for Validating Machine Learning Models offers a comprehensive overview of the statistical methodologies essential for the validation of machine learning models. This book emphasizes the importance of rigorous statistical testing in ensuring the reliability and accuracy of predictive models. The author presents various validation techniques, including cross-validation, bootstrapping, and hypothesis testing, illustrating their application in real-world scenarios. By equipping readers with the necessary statistical tools, this text serves as a crucial resource for data scientists and machine learning practitioners aiming to enhance their model validation processes. Publication Year: 2024. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.