“…Finally, you'll cover advanced use cases, such as self-service analysis, time series analysis, geo-spatial analysis, and how to connect Tableau to Python and R to implement programming functionalities within Tableau. …”

“…This book provides extensive illustrations of the new ODS Statistical Graphics procedures in SAS, a description of the new ODS Graphics Editor, and a brief introduction to some of the capabilities of SAS/IML Studio, such as producing dynamically linked data displays and invoking R from SAS…”

“…Die Beschreibungen und Beispiele basieren auf den Versionen SSIS 2008 und SSIS 2008 R2. Mit diesem Buch steht Ihnen ein umfassendes Nachschlagewerk mit hilfreichen Informationen zur Verfügung, das Sie bei Entwicklung, Bereitstellung und Betrieb Ihrer SSIS-Projekte effizient unterstützt…”

“…She's worked in IT for 20+ years and her areas of expertise include artificial intelligence, BI, Microsoft SQL Server, Tableau, R, Hadoop, and Hive…”

“…In addition, Applied Missing Data Analysis in the Health Sciences features: Multiple data sets that can be replicated using the SAS, Stata, R, and WinBUGS software packages Numerous examples of case studies in the field of biostatistics to illustrate real-world scenarios and demonstrate applications of discussed methodologies Detailed appendices to guide readers through the use of the presented data in various software environments Applied Missing Data Analysis in the Health Sciences is an excellent textbook for upper-undergraduate and graduate-level biostatistics courses as well as an ideal resource for health science researchers and applied statisticians…”

“…Pulice both show how the whole structure of a work could be designed, whereas P. Ponchon and R. Cytermann analyze the elements defining the genre. …”

“…In diesem Spannungsfeld bewegen sich die einzelnen Fallstudien, die den literarischen Aneignungsweisen der Wissenschaften bei Schriftsteller*innen wie Sarah Kirsch, Franz Fühmann, Johannes R. Becher, Dieter Noll, Brigitte Reimann, Maxie Wander, Christa Wolf, Hildegard Maria Rauchfuß, Christoph Hein, Fritz Rudolf Fries, Helga Königsdorf und Heiner Müller gewidmet sind…”

“…This publication provides the primary documentation for ISV zPDT and corresponds to zPDT V1 R11, commonly known as GA11…”

“…In addition to the editor, the contributors are Marianne Constable, Peter Fitzpatrick, Thomas R. Kearns, Peter Rush, Jonathan Simon, Shaun McVeigh, and Alison Young…”
Acceso a las primeras páginas
Sumario

“…Leger Kingsley Harrison [Lucas Malet], Annesley Kenealy, Palma Pederson, Elizabeth Stuart Phelps, Henrietta Stannard, Harriet Beecher Stowe, Rosamund Marriott Watson [Graham R. Tomson]…”

“…Die Dokumente lassen sich als Chronik einer inneren Zerrüttung lesen, die einerseits Mythen über das Literaturexil in der stalinistischen Sowjetunion aufbricht, andererseits das Schweigen der Akteure – darunter Johannes R. Becher, Willi Bredel, Alfred Kurella, Georg Lukács, Herbert Wehner, Erich Weinert und Friedrich Wolf – in der Nachkriegszeit erklärt -- Editor…”

“…Steven Dworkin (University of Michigan, Ann Arbor) Rolf Eberenz (Université de Lausanne) María Teresa Fuentes Morán (Universidad de Salamanca) Daniel Jacob (Albert-Ludwigs-Universität, Freiburg im Breisgau) Johannes Kabatek (Universität Zürich) Eugenio R. Luján (Universidad Complutense de Madrid) Ralph Penny (University of London)…”

“…Garver), and contemporary views about civic education (R. Hariman, M. Leff). The contributors show that Isocrates' rhetorical innovations carved out a deliberative process that attached moral choices to political questions and addressed ethical concerns as they could be realized concretely. …”

“…It is a complete guide for implementing Business intelligence with the help of the most powerful tools like D3.js, R, Tableau, Qlikview and Python that are available on the market. …”

“…Fagan, Heiner Fangerau, Boris Fehse, Nina Frey, Tristan Frum, Anne Grapin-Botton, Navin Gupta, Jürgen Hampel, Ferdinand Hucho, Özge Kayisoglu, Rashmiparvathi Keshara, Yung Hae Kim, Bon-Kyoung Koo, Martin Korte, Yaroslav Koshelev, Kai Kretzschmar, Allison Lewis, Lilian Marx-Stölting, Fruzsina Molnár-Gábor, Ryuji Morizane, Stefan Mundlos, Paola Nicolas, Angela Osterheider, In-Hyun Park, Anja Pichl, Sandra Pilat-Carotta, Jens Reich, Marlen Reinschke, Hannah Schickl, Silke Schicktanz, Nicolas Schlegel, Jason R. Spence, Yoshiaki Tanaka, Jochen Taupitz, Isaree Teriyapirom, Margherita Y. …”

“…It covers the material you would expect for an introductory level statistics course that Fields other books (Discovering Statistics Using IBM SPSS Statistics and Discovering Statistics Using R) only touch on, but with a contemporary twist, laying down strong foundations for understanding classical and Bayesian approaches to data analysis. …”

“…In particular, I am indebted to the very meaningful discussions and valuable support in the preparation of the publication by my - search assistants lic. iur Mirin . a Grosz and lic. iurR . omana Weber, to lic. iur…”

“…The book also: • Strikes a balance between theory and applications • Presents parametric as well as nonparametric methodologies • Provides a concise introduction to Cohen’s kappa coefficient and other measures of agreement for binary and categorical data • Discusses sample size determination for trials on measuring agreement • Contains real-world case studies and exercises throughout • Provides a supplemental website containing the related datasets and R code Measuring Agreement: Models, Methods, and Applications is a resource for statisticians and biostatisticians engaged in data analysis, consultancy, and methodological research. …”

“…You’ll learn how to: •Use the key building blocks of Machine Learning: sparse regularization, out-of-sample validation, and latent factor and topic modeling •Understand how use ML tools in real world business problems, where causation matters more that correlation •Solve data science programs by scripting in the R programming language Today’s business landscape is driven by data and constantly shifting. …”

“…This important resource: Offers theoretical coverage and computer-intensive applications of the procedures presented Contains solutions and alternate methods for prediction accuracy and selecting model procedures Presents the first book to focus on ridge regression and unifies past research with current methodology Uses R throughout the text and includes a companion website containing convenient data sets Written for graduate students, practitioners, and researchers in various fields of science, Theory of Ridge Regression Estimation with Applications is an authoritative guide to the theory and methodology of statistical estimation…”