BOOKS - The Art of Data Science A Practitioner's Guide
The Art of Data Science A Practitioner
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The Art of Data Science A Practitioner's Guide
Author: Douglas A. Gray
Year: 2025
Pages: 219
Format: PDF | EPUB
File size: 12.2 MB
Language: ENG



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Edward Lavieri, is a comprehensive guide that provides a broad overview of data science and its applications in various fields. It covers topics such as machine learning, deep learning, data visualization, big data analytics, and more. The book begins by introducing the concept of data science and its importance in today's world. The author emphasizes the need to develop a personal paradigm for understanding the technological process of developing modern knowledge, which he believes is essential for the survival of humanity and the unity of people in a warring state. He argues that this paradigm should be based on the principles of creativity, critical thinking, and collaboration, rather than on traditional methods of scientific inquiry. The book then delves into the history of data science, tracing its evolution from ancient times to the present day. The author highlights the key milestones and breakthroughs that have shaped the field, including the development of computers, the internet, and artificial intelligence. He also explores the impact of data science on society, including its role in business, healthcare, education, and other areas.
Edward Lavieri, является всеобъемлющим руководством, которое предоставляет широкий обзор науки о данных и ее приложений в различных областях. Он охватывает такие темы, как машинное обучение, глубокое обучение, визуализация данных, аналитика больших данных и многое другое. Книга начинается с введения концепции науки о данных и её важности в современном мире. Автор подчеркивает необходимость выработки личностной парадигмы понимания технологического процесса развития современных знаний, которые, по его мнению, необходимы для выживания человечества и единства людей в воюющем государстве. Он утверждает, что эта парадигма должна основываться на принципах творчества, критического мышления и сотрудничества, а не на традиционных методах научного исследования. Затем книга углубляется в историю науки о данных, прослеживая её эволюцию от древних времён до наших дней. Автор выделяет ключевые вехи и прорывы, которые сформировали эту область, включая развитие компьютеров, интернета и искусственного интеллекта. Он также исследует влияние науки о данных на общество, в том числе ее роль в бизнесе, здравоохранении, образовании и других областях.
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