Statistical Prediction and Machine Learning

BOOKS - Statistical Prediction and Machine Learning

Statistical Prediction and Machine Learning - John Tuhao Chen, Lincy Y. Chen, Clement Lee 2024 PDF CRC Press BOOKS

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Statistical Prediction and Machine Learning

Author: John Tuhao Chen, Lincy Y. Chen, Clement Lee
Year: 2024
Format: PDF
File size: 10.1 MB
Language: ENG

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Statistical Prediction and Machine Learning: A Guide to Data Science and Artificial Intelligence In today's fast-paced world, technology plays a vital role in shaping our society and influencing our lives. With the rapid advancement of technology, it is essential to understand the process of technology evolution and its impact on humanity. The book "Statistical Prediction and Machine Learning" provides a comprehensive guide to data science and artificial intelligence, enabling readers to gain insights into the intricacies of these fields and their significance in modern times. This article will delve into the plot of the book, highlighting its key aspects and the need for a personal paradigm to perceive the technological process of developing modern knowledge. The Plot The book "Statistical Prediction and Machine Learning" is divided into four parts, each focusing on a critical aspect of data science and artificial intelligence. Part one explores the fundamentals of statistical prediction and machine learning, providing readers with a solid foundation in these areas. Part two delves into advanced topics such as neural networks, deep learning, and natural language processing. Part three discusses the applications of machine learning in various industries, including healthcare, finance, and marketing. Finally, part four examines the ethical implications of data science and artificial intelligence, emphasizing the importance of responsible use and ethical considerations.

Статистическое прогнозирование и машинное обучение: Руководство по науке о данных и искусственному интеллекту В современном быстро развивающемся мире технологии играют жизненно важную роль в формировании нашего общества и влиянии на нашу жизнь. С быстрым развитием технологий важно понимать процесс эволюции технологий и его влияние на человечество. Книга «Статистическое прогнозирование и машинное обучение» предоставляет всеобъемлющее руководство по науке о данных и искусственному интеллекту, позволяя читателям получить представление о тонкостях этих областей и их значении в наше время. Эта статья углубится в сюжет книги, осветив ее ключевые аспекты и необходимость личностной парадигмы восприятия технологического процесса развития современных знаний. Сюжет Книга «Статистическое предсказание и машинное обучение» разделена на четыре части, каждая из которых посвящена критическому аспекту науки о данных и искусственного интеллекта. Часть первая исследует основы статистического прогнозирования и машинного обучения, предоставляя читателям прочную основу в этих областях. Вторая часть углубляется в такие продвинутые темы, как нейронные сети, глубокое обучение и обработка естественного языка. В третьей части обсуждаются применения машинного обучения в различных отраслях, включая здравоохранение, финансы и маркетинг. Наконец, в четвертой части рассматриваются этические последствия науки о данных и искусственного интеллекта, подчеркивая важность ответственного использования и этических соображений.

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