Most of the observable phenomena in the empirical sciences are of a multivariate nature. In financial studies, assets are observed simultaneously and their joint development is analysed to better understand general risk and to track indices. In medicine recorded observations of subjects in different locations are the basis of reliable diagnoses and medication. In quantitative marketing consumer preferences are collected in order to construct models of consumer behavior. The underlying data structure of these and many other quantitative studies of applied sciences is multivariate. Focusing on applications this book presents the tools and concepts of multivariate data analysis in a way that is understandable for non-mathematicians and practitioners who need to analyze statistical data. The book surveys the basic principles of multivariate statistical data analysis and emphasizes both exploratory and inferential statistics. All chapters have exercises that highlight applications in different fields. The third edition of this book on Applied Multivariate Statistical Analysis offers the following new features A new Chapter on Regression Models has been addedAll numerical examples have been redone, updated and made reproducible in MATLAB or R, see www.quantlet.org for a repository of quantlets.

This Set Contains: Differential and Integral Calculus, Volume 1 by R. Courant; Differential and Integral Calculus, Volume 2 by R. Courant.

From the reviews: "Volume 1 covers a basic course in real analysis of one variable and Fourier series. It is well-illustrated, well-motivated and very well-provided with a multitude of unusually useful and accessible exercises. (...) There are three aspects of Courant and John in which it outshines (some) contemporaries: (i) the extensive historical references, (ii) the chapter on numerical methods, and (iii) the two chapters on physics and geometry. The exercises in Courant and John are put together purposefully, and either look numerically interesting, or are intuitively significant, or lead to applications. It is the best text known to the reviewer for anyone trying to make an analysis course less abstract. (...)" The Mathematical Gazette (75.1991.471

In the field of machine learning, semi-supervised learning (SSL) occupies the middle ground, between supervised learning (in which all training examples are labeled) and unsupervised learning (in which no label data are given). Interest in SSL has increased in recent years, particularly because of application domains in which unlabeled data are plentiful, such as images, text, and bioinformatics. This first comprehensive overview of SSL presents state-of-the-art algorithms, a taxonomy of the field, selected applications, benchmark experiments, and perspectives on ongoing and future research.Semi-Supervised Learning first presents the key assumptions and ideas underlying the field: smoothness, cluster or low-density separation, manifold structure, and transduction. The core of the book is the presentation of SSL methods, organized according to algorithmic strategies. After an examination of generative models, the book describes algorithms that implement the low-density separation assumption, graph-based methods, and algorithms that perform two-step learning. The book then discusses SSL applications and offers guidelines for SSL practitioners by analyzing the results of extensive benchmark experiments. Finally, the book looks at interesting directions for SSL research. The book closes with a discussion of the relationship between semi-supervised learning and transduction.Olivier Chapelle and Alexander Zien are Research Scientists and Bernhard Scholkopf is Professor and Director at the Max Planck Institute for Biological Cybernetics in Tubingen. Scholkopf is coauthor of Learning with Kernels (MIT Press, 2002) and is a coeditor of Advances in Kernel Methods: Support Vector Learning (1998), Advances in Large-Margin Classifiers (2000), and Kernel Methods in Computational Biology (2004), all published by The MIT Press.

Algorithms are at the heart of every nontrivial computer application, and algorithmics is a modern and active area of computer science. Every computer scientist and every professional programmer should know about the basic algorithmic toolbox: structures that allow efficient organization and retrieval of data, frequently used algorithms, and basic techniques for modeling, understanding and solving algorithmic problems.
This book is a concise introduction addressed to students and professionals familiar with programming and basic mathematical language. Individual chapters cover arrays and linked lists, hash tables and associative arrays, sorting and selection, priority queues, sorted sequences, graph representation, graph traversal, shortest paths, minimum spanning trees, and optimization. The algorithms are presented in a modern way, with explicitly formulated invariants, and comment on recent trends such as algorithm engineering, memory hierarchies, algorithm libraries and certifying algorithms. The authors use pictures, words and high-level pseudocode to explain the algorithms, and then they present more detail on efficient implementations using real programming languages like C++ and Java.
The authors have extensive experience teaching these subjects to undergraduates and graduates, and they offer a clear presentation, with examples, pictures, informal explanations, exercises, and some linkage to the real world. Most chapters have the same basic structure: a motivation for the problem, comments on the most important applications, and then simple solutions presented as informally as possible and as formally as necessary. For the more advanced issues, this approach leads to a more mathematical treatment, including some theorems and proofs. Finally, each chapter concludes with a section on further findings, providing views on the state of research, generalizations and advanced solutions.

Massie's sweeping narrative centers around the naval rivalry between Britain and Germany after the death of Queen Victoria in 1901, highlighting this as one of the major tensions that led to WW I.

How the history of technological revolutions can help us better understand economic and political polarization in the age of automation
From the Industrial Revolution to the age of artificial intelligence, The Technology Trap takes a sweeping look at the history of technological progress and how it has radically shifted the distribution of economic and political power among society’s members. As Carl Benedikt Frey shows, the Industrial Revolution created unprecedented wealth and prosperity over the long run, but the immediate consequences of mechanization were devastating for large swaths of the population. Middle-income jobs withered, wages stagnated, the labor share of income fell, profits surged, and economic inequality skyrocketed. These trends, Frey documents, broadly mirror those in our current age of automation, which began with the Computer Revolution.
Just as the Industrial Revolution eventually brought about extraordinary benefits for society, artificial intelligence systems have the potential to do the same. But Frey argues that this depends on how the short term is managed. In the nineteenth century, workers violently expressed their concerns over machines taking their jobs. The Luddite uprisings joined a long wave of machinery riots that swept across Europe and China. Today’s despairing middle class has not resorted to physical force, but their frustration has led to rising populism and the increasing fragmentation of society. As middle-class jobs continue to come under pressure, there’s no assurance that positive attitudes to technology will persist.
The Industrial Revolution was a defining moment in history, but few grasped its enormous consequences at the time. The Technology Trap demonstrates that in the midst of another technological revolution, the lessons of the past can help us to more effectively face the present.

Zu Beginn des 18. Jahrhunderts entfesseln Isaac Newton und Gottfried Wilhelm Leibniz eine heftige Debatte, die bis heute von Mathematikern und Philosophen geführt wird: Was ist das, was wir »Zeit« nennen? Thomas de Padova zeichnet das lebendige Bild einer Epoche, in der die Zeit zum heiß diskutierten Gegenstand der Naturwissenschaften wird und Uhren anfangen, unseren Alltag zu bestimmen. Eine fesselnde Entdeckungsreise in die beschleunigte Welt der Moderne.
»Nehmen Sie sich die Zeit und lesen Sie dieses Sachbuchjuwel. Sie werden nie mehr einfach so auf die Uhr schauen.«, SWR, 07.01.2014
»Spannend wie in einem Krimi schildert de Padova die beiden Genies. (...) Um das anschaulich und unterhaltsam geschriebene Sachbuch mit Genuss lesen zu können, braucht man übrigens keine besonderen mathematischen oder physikalischen Kenntnisse. Man muss sich nur Zeit dafür nehmen.«, Stuttgarter Zeitung, 02.01.2014
»Ein wunderbares Buch, das den Leser in eine andere Zeit versetzt und interessante Einblicke in die Anfänge der Wissenschaft liefert.«, Deutschlandfunk, 13.10.2013
»Thomas de Padova versteht es, abwechlungsreich und spannend zu erzählen. Seit langem hat mich kein Sachbuch so angenehm belehrt und vergnügt.«, Spektrum der Wissenschaft
»Eine wunderbar erzählte Doppelbiografie. (...) Für Entdeckerfreudige ein idealer Schmöker zum Start ins neue Jahr.«, KulturSPIEGEL
»De Padova inszeniert aus Philosophie, Kulturgeschichte und Physik einen erkenntnisreichen Showdown; Witz und Alltagsbezug sorgen dafür, dass seine Zeitrecherche nie die Bodenhaftung verliert.«, Philosophie Magazin
»Lesenswert.«, Wiener Zeitung (A), 14.04.2015
»Der Publizist Thomas de Padova hat darüber ein kluges und sehr spannendes Buch geschrieben«, Morgenpost am Sonntag, 23.02.2014
»Lebendig und packend erzählt.«, MDR - Figaro, 23.01.2014
»Das Herausstreichen wissenschaftlicher Entwicklungen vor den Gegebenheiten ihrer Epoche, die Kontextualisierungen von Philosophie und Zeitgeist, von historischer und gegenwärtiger Naturwissenschaft sind die Stärke de Padovas. (...) Das Sachbuch gerät keineswegs zur Plauderei, sondern bleibt kompakt und diszipliniert aufgebaut - gerade so wie ein Uhrwerk.«, Der Standard, 18.12.2013

Das Heilige Römische Reich Deutscher Nation war ein über die Jahrhunderte des Mittelalters allmählich gewachsenes politisches Gebilde, ein lose integrierter Verband sehr unterschiedlicher Glieder, die unter einem gemeinsamen Oberhaupt, dem Kaiser, standen: geistliche und weltliche Herrschaftsträger, wenige Mächtige und viele Mindermächtige, Kurfürsten und Fürsten, Prälaten, Grafen, Ritter und Städte. Um die Wende zur Neuzeit, also um 1500, bildete dieser Verband festere institutionelle Strukturen aus- vor allem Reichstage als Foren der Konsensbildung, das Reichskammergericht und den Reichshofrat als Organe höchster Gerichtsbarkeit und die Reichskreise als regionale Exekutivinstitutionen. Über die inneren Zerreißproben der Glaubensspaltung und des Dreißigjährigen Krieges hinweg hatten diese gemeinsamen Institutionen im Kern drei Jahrhunderte lang Bestand, bevor der ganze Verband dem machtpolitischen Expansionswillen der mächtigsten Glieder- vor allem Brandenburg- Preußen und ÖSterreich- zum Opfer fiel. Barbara Stollberg- Rilinger bietet in diesem Band eine klare und gut verständliche Einführung in die Geschichte des Heiligen Römischen Reiches Deutscher Nation.

Sie kamen, sahen und eroberten – 600 Jahre lang haben Europäer die Welt erkundet, unterworfen und ausgebeutet. Doch zugleich haben sie zahllose Impulse für die Entstehung unserer heutigen Welt gegeben und empfangen. Denn die europäische Expansion war keine Einbahnstraße, sondern ein jahrhundertelanger Prozess der Interaktionen. In Wolfgang Reinhards monumentalem Werk hat die Vorgeschichte der Globalisierung zu einer einzigartigen Gesamtdarstellung gefunden.
Der renommierte Historiker beschreibt von den frühen Anfängen der europäischen Expansion in Antike und Mittelalter bis zu den langwierigen Dekolonisationen des 20. Jahrhunderts einen weltgeschichtlichen Vorgang von gewaltigen zeitlichen und räumlichen Dimensionen. Ob er über die Handelssysteme in Asien berichtet oder über die künstliche Welt der Plantagen mit ihren Sklaven, über ökologische Folgen oder konfliktträchtige politische Hinterlassenschaften der europäischen Expansion, stets ist seine beeindruckend kenntnisreiche Geschichte spannend zu lesen und geprägt von dem Interesse nicht nur an den Europäern, sondern auch an – den Anderen.