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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...

"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✍ Authors: Laura Igual, Santi Seguí🏢 Publisher: Springer📅 Publication Year: 2017📖 Pages: 218📂 Category: Data Science, Machine Learning, Statistics "Introduction to Data Science" provides a practical...

"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: A Guide for Data Scientists Authors: Andreas C. Müller, Sarah GuidoBinding: PaperbackPaper Quality: white paper Category: Data Science / Machine Learning / Artificial IntelligenceRecommended For:...

Python Data Science Handbook Author: Jake VanderPlasBinding: PaperbackPaper Quality: Black & White PaperCategory: Data Science / Programming / PythonRecommended For: Data scientists, analysts, Python developers, machine learning practitioners, and students...