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This book serves as a comprehensive guide to the intertwined fields of analytics, data science, and artificial intelligence (AI), specifically focusing on their application in decision support systems. The 11th...

Natasa Przulj's "Analyzing Network Data in Biology and Medicine" is an essential textbook that bridges the gap between biology, medicine, and computational science. This interdisciplinary work provides a comprehensive overview...

"Business Analytics: Descriptive, Predictive, Prescriptive" by Camm, Cochran, Fry, Ohlmann, Sweeney, and Williams is a comprehensive guide that explores the foundational concepts and applications of business analytics. It delves into...

Convex optimization and Euclidean distance geometry, as elucidated by Jon Dattorro, converge at the intersection of mathematical elegance and practical applicability. Dattorro's work explores the optimization of convex functions within...

"Data Mining: Practical Machine Learning Tools and Techniques, 4th Edition" by Ian H. Witten and Eibe Frank is a comprehensive and practical guide to data mining and machine learning, offering...

"Introduction to Data Science: A Python Approach to Concepts, Techniques, and Applications" delves into the foundational principles and practical applications of data science through the lens of Python programming. Authored...

"Introduction to Machine Learning 4th Edition" by Andreas C. Müller and Sarah Guido serves as a comprehensive guide for both beginners and seasoned practitioners delving into the realm of machine...

Introduction to Machine Learning with Python by Andreas C. Müller is a highly regarded book designed for both beginners and intermediate-level data scientists who are looking to explore the world...

Python Data Science Handbook by Jake VanderPlas Python Data Science Handbook by Jake VanderPlas is a comprehensive guide to using Python for data science. It covers a range of essential...