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Start your reading journey today on DL4ALL.org and unlock a world of imagination, knowledge, and inspiration! ![]() Free Download Meaning: A Very Short Introduction (Very Short Introductions) by Emma Borg, Sarah A. Fisher English | March 1, 2025 | ISBN: 0192866540 | 144 pages | PDF | 1.64 Mb Very Short Introductions: Brilliant, Sharp, Inspiring ![]() Free Download McGraw Hill Math Grade 8, Third Edition by McGraw Hill English | August 16, 2022 | ISBN: 126428571X | 208 pages | MOBI | 48 Mb An engaging math workbook to help your 8th grade student master the skills necessary to perform better in class and on standardized tests ![]() Free Download McGraw Hill Math Grade 7, Third Edition by McGraw Hill English | August 16, 2022 | ISBN: 1264285698 | 224 pages | MOBI | 47 Mb An engaging math workbook to help your 7th grade student master the skills necessary to perform better in class and on standardized tests ![]() Free Download McGraw Hill Math Grade 6, Third Edition by McGraw Hill English | August 16, 2022 | ISBN: 1264285671 | 208 pages | MOBI | 40 Mb An engaging math workbook to help your 6th grade student master the skills necessary to perform better in class and on standardized tests ![]() Free Download Maximal Solvable Subgroups of Finite Classical Groups (Lecture Notes in Mathematics) by Mikko Korhonen English | July 27, 2024 | ISBN: 3031629140 | 308 pages | MOBI | 77 Mb This book studies maximal solvable subgroups of classical groups over finite fields. It provides the first modern account of Camille Jordan's classical results, and extends them, giving a classification of maximal irreducible solvable subgroups of general linear groups, symplectic groups, and orthogonal groups over arbitrary finite fields. ![]() Free Download Matrix and Operator Equations and Applications (Mathematics Online First Collections) by Mohammad Sal Moslehian English | July 30, 2023 | ISBN: 303125385X | 775 pages | MOBI | 106 Mb This book concerns matrix and operator equations that are widely applied in various disciplines of science to formulate challenging problems and solve them in a faithful way. The main aim of this contributed book is to study several important matrix and operator equalities and equations in a systematic and self-contained fashion. Some powerful methods have been used to investigate some significant equations in functional analysis, operator theory, matrix analysis, and numerous subjects in the last decades. ![]() Free Download Mathematical Principles of Topological and Geometric Data Analysis (Mathematics of Data, 2) by Parvaneh Joharinad, Jürgen Jost English | July 30, 2023 | ISBN: 3031334396 | 290 pages | MOBI | 37 Mb This book explores and demonstrates how geometric tools can be used in data analysis. Beginning with a systematic exposition of the mathematical prerequisites, covering topics ranging from category theory to algebraic topology, Riemannian geometry, operator theory and network analysis, it goes on to describe and analyze some of the most important machine learning techniques for dimension reduction, including the different types of manifold learning and kernel methods. It also develops a new notion of curvature of generalized metric spaces, based on the notion of hyperconvexity, which can be used for the topological representation of geometric information. ![]() Free Download Mathematical Models of Convection by Victor K. Andreev, Yuri A. Gaponenko, Olga N. Goncharova English | August 24, 2020 | ISBN: 3110653788 | 432 pages | MOBI | 6.76 Mb The revised edition gives a comprehensive mathematical and physical presentation of fluid flows in non-classical models of convection - relevant in nature as well as in industry. After the concise coverage of fluid dynamics and heat transfer theory it discusses recent research. ![]() Free Download Mathe-Basics für Data Scientists: Lineare Algebra, Statistik und Wahrscheinlichkeitsrechnung für die Datenanalyse (German Edition) by Thomas Nield, Frank Langenau German | November 10, 2023 | ISBN: 3960092156 | 337 pages | MOBI | 12 Mb Frischen Sie Ihre Mathematik-Kenntnisse für Datenanalysen, Machine Learning und Neuronale Netze auf!Dieses Buch richtet sich an angehende und fortgeschrittene Data Scientists sowie Programmierer*innen, die sich die mathematischen Grundlagen der Data Science aneignen wollenBesonders gut nachvollziehbar durch minimale mathematische Fachterminologie, praxisnahe Beispiele und zahlreiche AbbildungenMit Übungen und Lösungen, um das Gelernte zu vertiefenFür Studium und BerufUm als Data Scientist erfolgreich zu sein, müssen Sie über ein solides mathematisches Grundwissen verfügen. 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