Modern and Interdisciplinary Problems in Network Science: A Translational Research Perspective
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Modern and Interdisciplinary Problems in Network Science: A Transla...
Book Details:
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Publisher: CRC Press
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Author: Zengqiang Chen
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Language: English
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Edition: 1st Edition
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ISBN: 9780367657062
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Pages: 290
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Binding: Paperback
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Release Date: 30-09-2020
About The Book:
Machine Learning for Decision Makers by Zengqiang Chen is an insightful guide designed for professionals and decision-makers seeking to understand how machine learning can be applied in real-world scenarios. This book provides a comprehensive introduction to machine learning techniques while focusing on their practical use in business, industry, and technology.
With 290 pages of accessible content, the book explains key concepts of machine learning, including supervised and unsupervised learning, classification, regression, and deep learning. It also offers case studies and real-life examples that demonstrate how these techniques can be effectively utilized to make informed decisions and solve complex problems.
Perfect for business leaders, managers, and anyone looking to harness the power of machine learning without a deep technical background, Machine Learning for Decision Makers equips readers with the knowledge and tools to leverage data-driven insights for better decision-making in various sectors.
