Der Unterst tzung durch moderne Informations- und Kommunikationstechnologien (IT) kommt bei der Ausrichtung der Bankorganisation an den bankbetrieblichen Prozessen eine wesentliche Rolle zu. Es ergeben sich neue L sungsans tze zur Gestaltung von Vertriebswegen und internen Abl ufen. Neben dem Zusammenhang zwischen Organisation und IT werden zwei Themenkreise eingehend untersucht: die innerorganisatorische Prozessorientierung und deren Unterst tzung durch Workflow-Management-Systeme sowie organisations berschreitende Gesch ftsprozesse unter Nutzung des Internets. Beide Technologien fordern eine Neudefinition und Gestaltung der technischen und organisatorischen Schnittstellen zu externen und internen Kunden.

Das Management von Geschaftsprozessen ist seit einigen Jahren ein wichtiges - strumentarium der Unternehmensfuhrung. Dabei haben sich die im Laufe der Zeit entstandenen Konzepte und Ansatze kontinuierlich weiterentwickelt. Die effizi- te und effektive Schaffung neuer Produkte und Dienstleistungen als kreativer P- zess der Innovation ist ein uberlebenswichtiger Bestandteil der Unternehmensst- tegie. Die Informationstechnologie nimmt hier eine ambivalente Rolle ein, da sie einerseits Prozesseffizienz fordert, aber durch ihre Komplexitat oftmals den W- del erschwert. Neue Geschaftsmodelle und -konzepte erfordern flexible IT-Losungen und - wendungsarchitekturen, die sich den Geschaftsprozessen anpassen und nicht - gekehrt. Serviceorientierte Architekturen (SOA) stellen die Basis fur solche neue Losungen und Vorgehensweisen dar. Sie heben die bisher vorherrschenden, hart verdrahteten Verbindungen zwischen Systemen zu Gunsten einer flexiblen, leicht veranderbaren Architektur auf. Die vorgenommene Auflosung von Systemgrenzen ermoglicht eine starkere Verzahnung von Prozessen und Informationstechnologie. Diese enge Integration von Geschafts- und IT-Welt bietet Potenziale fur den - samten Business Process Lifecycle. Neben der Unterstutzung aller Transferschr- te, von der Design-, uber die Implementierungsphase bis hin zur konkreten A- fuhrung und der kontinuierlichen Kontrolle von Prozessen, eroffnet es auch die automatisierte Initiierung dieses Transfers. Die umfassende Automatisierung be- haltet weit reichende technologische und organisatorische Anderungen. Das - schaftsprozessmanagement der nachsten Generation wird neuartige Geschafts- delle in vielfaltiger Weise ermoglichen, ist aber zur erfolgreichen Umsetzung auf eine weitgehende automatisierte Transformation des Prozesswissens, und dabei insbesondere auf Processes to Applications" (P2A)-Mechanismen, angewiesen. Die technologischen Voraussetzungen fur diese nachste Generation der Geschaf- prozessumsetzung sind bereits geschaffen."

Dieses Buch gibt einen umfassenden rechtlichen Uberblick uber den Vertrieb von Waren und Dienstleistungen im Internet. Behandelt werden zentrale Bereiche des elektronischen Geschaftsverkehrs. Dazu zahlen beispielsweise das Vertragsrecht, Prozessrecht sowie das Fernabsatzrecht im Internet. Eine Reihe potentieller Rechtsprobleme werden dargestellt, die es zu wissen gilt, wenn man selbst Waren- und Dienstleistungsvertrage uber das Internet abschliesst oder sich anderweitig mit diesem Bereich beschaftigt. Dieses Buch dient als zuverlassiger und verstandlicher Rechtsberater, um sich in dem sehr komplexen Bereich des Vertriebs- und Fernabsatzrechts im Internet orientieren zu konnen. Es richtet sich sowohl an Praktiker aus Wirtschaft, Justiz und Anwaltschaft, als auch an Verbraucherschutzverbande und Wissenschaftler."

Systeme f r graphisch-interaktive betriebliche Anwendungen - Gegenstand dieses Buches - reichen von datenbankbasierten Informationssystemen im PPS-Bereich bis hin zu Programmier-, Diagnose- und Planungswerkzeugen im Werkstattbereich. Sie bilden das R ckgrat der heutigen Informationsverarbeitung in Betrieben. In einem ersten Teil werden - f r alle Phasen der Anwendungsentwicklung - Methoden der Analyse und Gestaltung beschrieben. Der zweite Teil befa t sich mit den modernen Realisierungswerkzeugen, die sich im industriellen Einsatz schon bew hrt haben. Ein besonderer Schwerpunkt des Buches liegt auf der Entwicklung von Benutzerschnittstellen unter softwareergonomischen Gesichtspunkten. Daf r wird ein durchg ngiges Verfahren pr sentiert und in den allgemeinen Kontext der Methodik des Softwareengineering gestellt.

"This book is a great way to both start learning data science through the promising Julia language and to become an efficient data scientist."- Professor Charles Bouveyron, INRIA Chair in Data Science, Universite Cote d'Azur, Nice, France Julia, an open-source programming language, was created to be as easy to use as languages such as R and Python while also as fast as C and Fortran. An accessible, intuitive, and highly efficient base language with speed that exceeds R and Python, makes Julia a formidable language for data science. Using well known data science methods that will motivate the reader, Data Science with Julia will get readers up to speed on key features of the Julia language and illustrate its facilities for data science and machine learning work. Features: Covers the core components of Julia as well as packages relevant to the input, manipulation and representation of data. Discusses several important topics in data science including supervised and unsupervised learning. Reviews data visualization using the Gadfly package, which was designed to emulate the very popular ggplot2 package in R. Readers will learn how to make many common plots and how to visualize model results. Presents how to optimize Julia code for performance. Will be an ideal source for people who already know R and want to learn how to use Julia (though no previous knowledge of R or any other programming language is required). The advantages of Julia for data science cannot be understated. Besides speed and ease of use, there are already over 1,900 packages available and Julia can interface (either directly or through packages) with libraries written in R, Python, Matlab, C, C++ or Fortran. The book is for senior undergraduates, beginning graduate students, or practicing data scientists who want to learn how to use Julia for data science. "This book is a great way to both start learning data science through the promising Julia language and to become an efficient data scientist." Professor Charles Bouveyron INRIA Chair in Data Science Universite Cote d'Azur, Nice, France

Pour Ie cinquieme congres de la serie, COMPSTAT 82 reunit environ 500 participants d'origines scientifiques et geographiques tres variees, prouvant a l'evidence l'interet persis tant de la communaute scientifique pour tous les problemes de calculs statistiques. Le Comite de Programme charge de l'organisation scientifique du Congres etait com pose de: o S. Apelt (Republique democratique d'Allemagne) - A. Bj6rck (Suede) - H. Caussinus (France), President - Y. Escoufier (France) - A. de Falguerolles (France), Secretaire - J. W. Frane (U. S. A. ) - J. Gordesch (Republique Federale d'Allemagne) - Th. Havranek (Tchechoslovaquie) - N. Lauro (Italie) - C. Millier (France) - R. J. Mokken (pays-Bas)- R. Tomassone (France) - D. Wishart (Royaume Uni) Ce Comite a decide d'augmenter Ie nombre des conferenciers invites, cherchant de la sorte une representation des diverses ecoles ainsi que l'introduction de nouveaux themes. La tache la plus difficile a ensuite ete de selectionner une soixantaine de contributions parmi 250 soumissions. La encore Ie Comite de Programme s'est efforce de favoriser des voies qui semblaient les plus nouvelles et a essaye de maintenir une bonne repartition scientifique et geographique. Cependant, comme dans les precedents congres COMPSTAT, il a donne la preference aux propositions clairement marquees simultanement du double aspect Statistique et Calcul. Dans bien des cas, ces deux aspects sont tres lies rendant en particulier difficile et peu pertinente toute classification fine des contributions."

This textbook presents an introduction to generalized linear models, complete with real-world data sets and practice problems, making it applicable for both beginning and advanced students of applied statistics. Generalized linear models (GLMs) are powerful tools in applied statistics that extend the ideas of multiple linear regression and analysis of variance to include response variables that are not normally distributed. As such, GLMs can model a wide variety of data types including counts, proportions, and binary outcomes or positive quantities. The book is designed with the student in mind, making it suitable for self-study or a structured course. Beginning with an introduction to linear regression, the book also devotes time to advanced topics not typically included in introductory textbooks. It features chapter introductions and summaries, clear examples, and many practice problems, all carefully designed to balance theory and practice. The text also provides a working knowledge of applied statistical practice through the extensive use of R, which is integrated into the text. Other features include: * Advanced topics such as power variance functions, saddlepoint approximations, likelihood score tests, modified profile likelihood, small-dispersion asymptotics, and randomized quantile residuals * Nearly 100 data sets in the companion R package GLMsData * Examples that are cross-referenced to the companion data set, allowing readers to load the data and follow the analysis in their own R session

This third edition of Paul Murrell's classic book on using R for graphics represents a major update, with a complete overhaul in focus and scope. It focuses primarily on the two core graphics packages in R - graphics and grid - and has a new section on integrating graphics. This section includes three new chapters: importing external images in to R; integrating the graphics and grid systems; and advanced SVG graphics. The emphasis in this third edition is on having the ability to produce detailed and customised graphics in a wide variety of formats, on being able to share and reuse those graphics, and on being able to integrate graphics from multiple systems. This book is aimed at all levels of R users. For people who are new to R, this book provides an overview of the graphics facilities, which is useful for understanding what to expect from R's graphics functions and how to modify or add to the output they produce. For intermediate-level R users, this book provides all of the information necessary to perform sophisticated customizations of plots produced in R. For advanced R users, this book contains vital information for producing coherent, reusable, and extensible graphics functions.

This book shows you how to analyze data sets systematically and to use Excel 2019 to extract information from data almost effortlessly. Both are (not) an art! The statistical methods are presented and discussed using a single data set. This makes it clear how the methods build on each other and gradually more and more information can be extracted from the data. The Excel functions used are explained in detail - the procedure can be easily transferred to other data sets. Various didactic elements facilitate orientation and working with the book: At the checkpoints, the most important aspects from each chapter are briefly summarized. In the freak knowledge section, more advanced aspects are addressed to whet the appetite for more. All examples are calculated with hand and Excel. Numerous applications and solutions as well as further data sets are available on the author's internet platform. This book is a translation of the original German 2nd edition Statistik angewandt mit Excel by Franz Kronthaler, published by Springer-Verlag GmbH Germany, part of Springer Nature in 2021. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com). A subsequent human revision was done primarily in terms of content, so that the book will read stylistically differently from a conventional translation. Springer Nature works continuously to further the development of tools for the production of books and on the related technologies to support the authors.

Complex systems that bridge the traditional disciplines of physics, chemistry, biology, and materials science can be studied at an unprecedented level of detail using increasingly sophisticated theoretical methodology and high-speed computers. The aim of this book is to prepare burgeoning users and developers to become active participants in this exciting and rapidly advancing research area by uniting for the first time, in one monograph, the basic concepts of equilibrium and time-dependent statistical mechanics with the modern techniques used to solve the complex problems that arise in real-world applications. The book contains a detailed review of classical and quantum mechanics, in-depth discussions of the most commonly used ensembles simultaneously with modern computational techniques such as molecular dynamics and Monte Carlo, and important topics including free-energy calculations, linear-response theory, harmonic baths and the generalized Langevin equation, critical phenomena, and advanced conformational sampling methods. Burgeoning users and developers are thus provided firm grounding to become active participants in this exciting and rapidly advancing research area, while experienced practitioners will find the book to be a useful reference tool for the field.

Candlesticks have become a key component of platforms and charting programs for financial trading. With these charts, traders can learn underlying patterns for interpreting price action history and forecasts. This A-Z guide shows portfolio managers, quants, strategists, and analysts how to use Python to recognize, scan, trade, and backtest the profitability of candlestick patterns. Financial author, trading consultant, and institutional market strategist Sofien Kaabar shows you how to create a candlestick scanner and indicator so you can compare the profitability of these patterns. With this hands-on guide, you'll also explore a new type of charting system similar to candlesticks, as well as new patterns that have never been presented before. With this book, you will: Create and understand the conditions required for classic and modern candlestick patterns Learn the market psychology behind them Use a framework to learn how backtesting trading strategies are conducted Explore different charting systems and understand their limitations Import OHLC historical FX data in Python in different time frames Use algorithms to scan for and reproduce patterns Learn a pattern's potential by evaluating its profitability and predictability

Kundennahe und Kundenorientierung gelten als Schlusselfaktoren zum Geschaftserfolg. Dies impliziert eine konsequente Ausrichtung von unternehmensinternen und -ubergreifenden Geschaftsprozessen auf den "Koenig Kunde". Mit diesem Themenkreis setzt sich der Schwerpunkt Geschaftsprozessmanagement auseinander. Im Abschnitt Kosten- und Deckungsbeitragsmanagement muss sich das Controlling einer kritischen Betrachtung des kundenorientierten Arbeitens unterziehen. Neuere Entwicklungen wie Data Warehousing und die Nutzung des Internet als Moeglichkeit zur Annaherung an den Kunden werden u.a. im Abschnitt Informationsmanagement diskutiert. Loesungsansatze fur den Einsatz betriebswirtschaftlicher Methoden und moderner Kommunikationstechnologie in der oeffentlichen Verwaltung bietet der Abschnitt Verwaltungsmanagement.

In order to make strategy happen there is a need for powerful management information systems. SAP focuses on the application of modern business administration concepts, e.g. Value Based Management, the Balanced Scorecard, the Management Cockpit or flexible planning methods.

The book describes the methodology and implementation of a powerful tool for enterprise management. Practical examples show how SAP Strategic Enterprise Management/Business Analytics (SAP SEM/BA) can help to improve cross functional planning, reporting and analyzing. SAP SEM/BA is a leading edge IT-solution for top management and related departments in large enterprises and groups. It demonstrates the state of the art of modern management information and decision support systems.

IT-Projekte haben in vielen Unternehmen eine zentrale Bedeutung. Sie binden Ressourcen und generieren entsprechende Kosten. Im Durchschnitt werden in Unternehmen 33 Projekte pro 1000 Mitarbeitern durchgefuhrt und pro Mitarbeiter und Jahr EUR 8.000 in IT-Projekte investiert. Von diesen Projekten werden weniger als die Halfte erfolgreich abgeschlossen.

An theoretischem Wissen respektive an der Ausbildung kann es nicht liegen. Aus Sicht der Autoren fehlt es den Projektmanagern oft an der notwendigen Reflexion, dies besonders wenn die Projekte in kritische Phasen treten. Ein Erfahrungsaustausch zwischen den Projektleitern findet vielfach aus zeitlichen Grunden nur unvollkommen statt. Hier setzen die Autoren an. Sie legen das Schwergewicht auf die kritischen Erfolgsfaktoren eines IT-Projekts. Gegliedert nach Erfolgsfaktoren fuhrt das Buch zum Thema und veranschaulicht Losungswege anhand von Beispielen aus der Praxis.

R Markdown: The Definitive Guide is the first official book authored by the core R Markdown developers that provides a comprehensive and accurate reference to the R Markdown ecosystem. With R Markdown, you can easily create reproducible data analysis reports, presentations, dashboards, interactive applications, books, dissertations, websites, and journal articles, while enjoying the simplicity of Markdown and the great power of R and other languages. In this book, you will learn Basics: Syntax of Markdown and R code chunks, how to generate figures and tables, and how to use other computing languages Built-in output formats of R Markdown: PDF/HTML/Word/RTF/Markdown documents and ioslides/Slidy/Beamer/PowerPoint presentations Extensions and applications: Dashboards, Tufte handouts, xaringan/reveal.js presentations, websites, books, journal articles, and interactive tutorials Advanced topics: Parameterized reports, HTML widgets, document templates, custom output formats, and Shiny documents. Yihui Xie is a software engineer at RStudio. He has authored and co-authored several R packages, including knitr, rmarkdown, bookdown, blogdown, shiny, xaringan, and animation. He has published three other books, Dynamic Documents with R and knitr, bookdown: Authoring Books and Technical Documents with R Markdown, and blogdown: Creating Websites with R Markdown. J.J. Allaire is the founder of RStudio and the creator of the RStudio IDE. He is an author of several packages in the R Markdown ecosystem including rmarkdown, flexdashboard, learnr, and radix. Garrett Grolemund is the co-author of R for Data Science and author of Hands-On Programming with R. He wrote the lubridate R package and works for RStudio as an advocate who trains engineers to do data science with R and the Tidyverse.

This book introduces econometric analysis of cross section, time series and panel data with the application of statistical software. It serves as a basic text for those who wish to learn and apply econometric analysis in empirical research. The level of presentation is as simple as possible to make it useful for undergraduates as well as graduate students. It contains several examples with real data and Stata programmes and interpretation of the results. While discussing the statistical tools needed to understand empirical economic research, the book attempts to provide a balance between theory and applied research. Various concepts and techniques of econometric analysis are supported by carefully developed examples with the use of statistical software package, Stata 15.1, and assumes that the reader is somewhat familiar with the Strata software. The topics covered in this book are divided into four parts. Part I discusses introductory econometric methods for data analysis that economists and other social scientists use to estimate the economic and social relationships, and to test hypotheses about them, using real-world data. There are five chapters in this part covering the data management issues, details of linear regression models, the related problems due to violation of the classical assumptions. Part II discusses some advanced topics used frequently in empirical research with cross section data. In its three chapters, this part includes some specific problems of regression analysis. Part III deals with time series econometric analysis. It covers intensively both the univariate and multivariate time series econometric models and their applications with software programming in six chapters. Part IV takes care of panel data analysis in four chapters. Different aspects of fixed effects and random effects are discussed here. Panel data analysis has been extended by taking dynamic panel data models which are most suitable for macroeconomic research. The book is invaluable for students and researchers of social sciences, business, management, operations research, engineering, and applied mathematics.

Real-Time Enterprise (RTE) ist eine Unternehmensstruktur, die durch kontinuierliche Beschleunigung der Managementprozesse die eigene Aktions- und Reaktionsgeschwindigkeit nachhaltig verbessert und verzogerungsfrei auf externe sowie interne Anderungen reagieren und damit Zeit und Kosten einsparen kann. Voraussetzungen und Rahmenbedingungen hierfur sind durchgangig integrierte Geschaftsprozesse und Informationsflusse entlang der kompletten Wertschopfungskette. Im Idealfall sind dabei alle Arbeitsprozesse in einem Unternehmen optimal aufeinander abgestimmt, so dass Data Warehouse, Supply Chain Management, Customer Relationship Management und Enterprise Resource Planning wirkungsvoll ineinander greifen. Dabei endet die Betrachtung von Prozessen und Informationen nicht an den Unternehmensgrenzen. Statt dessen sind Kunden und beteiligte Partnerfirmen beziehungsweise deren Prozesse transparent eingebunden und tauschen Informationen uber alle relevanten Ereignisse zeitnah aus. "

Microsoft Power BI is a data analytics and visualization tool powerful enough for the most demanding data scientists, but accessible enough for everyday use for anyone who needs to get more from data. The market has many books designed to train and equip professional data analysts to use Power BI, but few of them make this tool accessible to anyone who wants to get up to speed on their own. This streamlined intro to Power BI covers all the foundational aspects and features you need to go from "zero to hero" with data and visualizations. Whether you work with large, complex datasets or work in Microsoft Excel, author Jeremey Arnold shows you how to teach yourself Power BI and use it confidently as a regular data analysis and reporting tool. You'll learn how to: Import, manipulate, visualize, and investigate data in Power BI Approach solutions for both self-service and enterprise BI Use Power BI in your organization's business intelligence strategy Produce effective reports and dashboards Create environments for sharing reports and managing data access with your team Determine the right solution for using Power BI offerings based on size, security, and computational needs

Erst die elektronische Signatur wird dem E-Commerce zum Durchbruch verhelfen. Dieses Werk setzt sich mit den Akzeptanzproblemen auseinander, die beim Einsatz moderner Technologien fur die vertrauenswurdige elektronische Kommunikation entstehen. Rechtliche Fragen spielen hier eine wichtige Rolle, aber auch Moral und Kultur. Die Situation in diesen Bereichen wird im Buch diskutiert und daraus Handlungsempfehlungen fur den Verbraucher- und Datenschutz, die technische Ausgestaltung sowie den Umgang mit Risiken gegeben. Dies fuhrt zu einem visionaren Modell der Informationsgesellschaft.

Praise for the First Edition "The main strength of this book is that it provides a unified framework of graphical tools for data analysis, especially for univariate and low-dimensional multivariate data. In addition, it is clearly written in plain language and the inclusion of R code is particularly useful to assist readers' understanding of the graphical techniques discussed in the book. ... It not only summarises graphical techniques, but it also serves as a practical reference for researchers and graduate students with an interest in data display." -Han Lin Shang, Journal of Applied Statistics Graphics for Statistics and Data Analysis with R, Second Edition, presents the basic principles of graphical design and applies these principles to engaging examples using the graphics and lattice packages in R. It offers a wide array of modern graphical displays for data visualization and representation. Added in the second edition are coverage of the ggplot2 graphics package, material on human visualization and color rendering in R, on screen, and in print. Features Emphasizes the fundamentals of statistical graphics and best practice guidelines for producing and choosing among graphical displays in R Presents technical details on topics such as: the estimation of quantiles, nonparametric and parametric density estimation; diagnostic plots for the simple linear regression model; polynomial regression, splines, and locally weighted polynomial regression for producing a smooth curve; Trellis graphics for multivariate data Provides downloadable R code and data for figures at www.graphicsforstatistics.com Kevin J. Keen is a Professor of Mathematics and Statistics at the University of Northern British Columbia (Prince George, Canada) and an Accredited Professional StatisticianTM by the Statistical Society of Canada and the American Statistical Association.

Highlighting the new aspects of MATLAB (R) 7.10 and expanding on many existing features, MATLAB (R) Primer, Eighth Edition shows you how to solve problems in science, engineering, and mathematics. Now in its eighth edition, this popular primer continues to offer a hands-on, step-by-step introduction to using the powerful tools of MATLAB. New to the Eighth Edition A new chapter on object-oriented programming Discussion of the MATLAB File Exchange window, which provides direct access to over 10,000 submissions by MATLAB users Major changes to the MATLAB Editor, such as code folding and the integration of the Code Analyzer (M-Lint) into the Editor Explanation of more powerful Help tools, such as quick help popups for functions via the Function Browser The new bsxfun function A synopsis of each of the MATLAB Top 500 most frequently used functions, operators, and special characters The addition of several useful features, including sets, logical indexing, isequal, repmat, reshape, varargin, and varargout The book takes you through a series of simple examples that become progressively more complex. Starting with the core components of the MATLAB desktop, it demonstrates how to handle basic matrix operations and expressions in MATLAB. The text then introduces commonly used functions and explains how to write your own functions, before covering advanced features, such as object-oriented programming, calling other languages from MATLAB, and MATLAB graphics. It also presents an in-depth look at the Symbolic Toolbox, which solves problems analytically rather than numerically.

Ready for SAP SuccessFactors Employee Central? First, master the Employee Central workforce admin functionality for hiring, time sheets, benefits, payments, and termination. Next, learn to configure permissions, implement mass changes, and set up workflows, company structures, and business rules. Finally, explore integration with SAP and third-party applications to get the most out of your HR setup. From implementation to operations, this Employee Central book has it all! Highlights include: 1) Time sheets 2) Benefits management 3) Payment 4) Time management 5) Workforce management 6) Mass changes 7) Implementation and integration 8) Reporting 9) Data import and migration 10) SAP SuccessFactors HCM Suite 11) Intelligent services

Incorporating new topics and original material, Introduction to Finite and Spectral Element Methods Using MATLAB (R), Second Edition enables readers to quickly understand the theoretical foundation and practical implementation of the finite element method and its companion spectral element method. Readers gain hands-on computational experience by using the free online FSELIB library of MATLAB (R) functions and codes. With the book as a user guide, readers can immediately run the codes and graphically display solutions to a variety of elementary and advanced problems. New to the Second Edition Two new chapters with updated material Updated detailed proofs and original derivations New schematic illustrations and graphs Additional solved problems Updated MATLAB software, including improved and new computer functions as well as complete finite element codes incorporating domain discretization modules in three dimensions Suitable for self-study or as a textbook in various science and engineering courses, this self-contained book introduces the fundamentals on a need-to-know basis and emphasizes the development of algorithms and the computer implementation of essential procedures. The text first explains basic concepts and develops the algorithms before addressing problems in solid mechanics, fluid mechanics, and structural mechanics.

A Tour of Data Science: Learn R and Python in Parallel covers the fundamentals of data science, including programming, statistics, optimization, and machine learning in a single short book. It does not cover everything, but rather, teaches the key concepts and topics in Data Science. It also covers two of the most popular programming languages used in Data Science, R and Python, in one source. Key features: Allows you to learn R and Python in parallel Cover statistics, programming, optimization and predictive modelling, and the popular data manipulation tools - data.table and pandas Provides a concise and accessible presentation Includes machine learning algorithms implemented from scratch, linear regression, lasso, ridge, logistic regression, gradient boosting trees, etc. Appealing to data scientists, statisticians, quantitative analysts, and others who want to learn programming with R and Python from a data science perspective.

Dienstleistung per Internet, moderne Logistik, steigender Zeit- und Kostendruck, erhohte Qualitatsanforderungen: Dienstleister benotigen Werkzeuge zur integrierten Entwicklung von Software und Services. Das Ergebnis des Forschungsprojektes ServCASE bietet endlich das erforderliche Referenzmodell: exemplarische Vorgehensweisen, Methoden, die exakte Beschreibung einer werkzeugunterstutzten Entwicklungsplattform. Konkret - in Theorie und Praxis."