‘Essential Auto ML: Automating Machine Learning’ serves as a comprehensive guide to understanding the transformative potential of Automated Machine Learning (Auto ML) in today’s data-driven world. As industries increasingly rely on sophisticated algorithms to derive insights and drive decisions, Auto ML stands out by automating complex machine learning tasks, thus making advanced analytics accessible to a broader audience. This book meticulously covers the foundational concepts, from the basics of machine learning to the nuanced intricacies of Auto ML frameworks, tools, and techniques, providing a clear pathway for practitioners and newcomers alike to leverage automation in their data science endeavors.
Through detailed exploration and practical examples, the book delves into core aspects such as data preprocessing, model selection, hyperparameter tuning, and deployment strategies, shedding light on the seamless integration of these processes. Readers will gain insights into overcoming challenges and will be introduced to state-of-the-art methodologies and future trends. Emphasizing both theoretical understanding and practical applications, ‘Essential Auto ML’ equips readers with the knowledge to effectively implement Auto ML solutions, enhancing productivity and innovation across diverse fields. This book is an indispensable resource for data scientists, IT professionals, and anyone keen on exploring the potential of machine learning automation.
Robert Johnson
Essential AutoML [EPUB ebook]
Automating Machine Learning
Essential AutoML [EPUB ebook]
Automating Machine Learning
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язык английский ● Формат EPUB ● страницы 277 ● ISBN 6610000663132 ● Размер файла 0.9 MB ● издатель HiTeX Press ● опубликованный 2024 ● Загружаемые 24 месяцы ● валюта EUR ● Код товара 10004981 ● Защита от копирования без