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40 Algorithms Every Data Scientist Should Know Navigating through essential AI and ML algorithms - Jurgen Weichenberger, Huw Kwon 2025 EPUB BPB Publications BOOKS
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40 Algorithms Every Data Scientist Should Know Navigating through essential AI and ML algorithms
Author: Jurgen Weichenberger, Huw Kwon
Year: 2025
Format: EPUB
File size: 10.1 MB
Language: ENG



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Book Description: The world has entered into a new era of data-driven decision making, where machines and algorithms play a crucial role in shaping our lives. As a data scientist, it's imperative to stay updated with the latest advancements in artificial intelligence (AI) and machine learning (ML) to navigate this complex landscape. This book provides a comprehensive guide to 40 essential algorithms that every data scientist should know, covering a wide range of techniques and applications. From linear regression to neural networks, each algorithm is explained in an easy-to-understand manner, making it accessible to readers of all skill levels. The book also explores the historical context and evolution of these algorithms, highlighting their significance in the ever-changing technological landscape. Whether you're a seasoned pro or just starting out, this book will help you master the art of AI and ML, empowering you to make informed decisions and drive innovation in your field. Long Description of the Plot: In the modern world, technology has become the backbone of human progress, and data science has emerged as one of its most critical components. With the advent of AI and ML, the way we live, work, and interact with each other has undergone a radical transformation.
Мир вступил в новую эру принятия решений на основе данных, где машины и алгоритмы играют решающую роль в формировании нашей жизни. Как специалист по анализу данных, крайне важно быть в курсе последних достижений в области искусственного интеллекта (ИИ) и машинного обучения (ML), чтобы ориентироваться в этом сложном ландшафте. Эта книга содержит исчерпывающее руководство по 40 важным алгоритмам, которые должен знать каждый специалист по данным, охватывая широкий спектр методов и приложений. От линейной регрессии до нейронных сетей, каждый алгоритм объясняется в простой для понимания манере, что делает его доступным для читателей всех уровней квалификации. Книга также исследует исторический контекст и эволюцию этих алгоритмов, подчеркивая их значение в постоянно меняющемся технологическом ландшафте. Независимо от того, являетесь ли вы опытным профессионалом или только начинаете, эта книга поможет вам освоить искусство ИИ и ML, предоставляя вам возможность принимать обоснованные решения и стимулировать инновации в вашей области. Длинное описание сюжета: в современном мире технологии стали основой человеческого прогресса, а наука о данных - одним из его важнейших компонентов. С появлением ИИ и МЛ то, как мы живем, работаем и взаимодействуем друг с другом, претерпело радикальную трансформацию.
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