Machine Learning, Optimization, and Big Data

Discover the cutting-edge intersection of technology and data in "Machine Learning, Optimization, and Big Data" by Panos M. Pardalos. Published by Springer International Publishing AG in 2016, this insightful book features a collection of revised selected papers from the First International Workshop on Machine Learning, Optimization, and Big Data (MOD 2015), held in the picturesque Taormina, Sicily. With 372 pages of in-depth research, this first edition compiles 32 meticulously reviewed papers chosen from a competitive pool of 73 submissions, showcasing the latest advancements in these critical fields. Ideal for researchers, practitioners, and students alike, this volume delves into innovative methodologies and applications, making it a valuable addition to your academic library. Enhance your understanding of how machine learning and big data can optimize various processes and drive future innovations.