Joseph Schmuller Livres

A deep dive into the programming language of choice for statistics and data With R All-in-One For Dummies, you get five mini-books in one, offering a complete and thorough resource on the R programming language and a road map for making sense of the sea of data we're all swimming in. Maybe you're pursuing a career in data science, maybe you're looking to infuse a little statistics know-how into your existing career, or maybe you're just R-curious. This book has your back. Along with providing an overview of coding in R and how to work with the language, this book delves into the types of projects and applications R programmers tend to tackle the most. You'll find coverage of statistical analysis, machine learning, and data management with R. Grasp the basics of the R programming language and write your first lines of code Understand how R programmers use code to analyze data and perform statistical analysis Use R to create data visualizations and machine learning programs Work through sample projects to hone your R coding skill This is an excellent all-in-one resource for beginning coders who'd like to move into the data space by knowing more about R.

Make the most of R's extensive toolset R Projects For Dummies offers a unique learn-by-doing approach. You will increase the depth and breadth of your R skillset by completing a wide variety of projects.

You too can understand the statistics of life, even if you're math-challenged! What do you need to calculate? Manufacturing output? A curve for test scores? Sports stats? You and Excel can do it, and this non-intimidating guide shows you how. It demystifies the different types of statistics, how Excel functions and formulas work, the meaning of means and medians, how to interpret your figures, and more — in plain English. Getting there — learn how variables, samples, and probability are used to get the information you want Excel tricks — find out what's built into the program to help you work with Excel formulas Playing with worksheets — get acquainted with the worksheet functions for each step Graphic displays — present your data as pie graphs, bar graphs, line graphs, or scatter plots What's normal? — understand normal distribution and probability Hyping hypotheses — learn to use hypothesis testing with means and variables When regression is progress — discover when and how to use regression for forecasting What are the odds — work with probability, random variables, and binomial distribution Open the book and find: Ten statistical and graphical tips and traps The difference between descriptive and inferential statistics Why graphs are good How to measure variations What standard scores are and why they're used When to use two-sample hypothesis testing How to use correlations Different ways of working with probability

Understanding the world of R programming and analysis has never been easier Most guides to R, whether books or online, focus on R functions and procedures.

Learn UML, the Unified Modeling Language, to create diagrams describing the various aspects and uses of your application before you start coding, to ensure that you have everything covered. Millions of programmers in all languages have found UML to be an invaluable asset to their craft. More than 50,000 previous readers have learned UML with Sams Teach Yourself UML in 24 Hours . Expert author Joe Schmuller takes you through 24 step-by-step lessons designed to ensure your understanding of UML diagrams and syntax. This updated edition includes the new features of UML 2.0 designed to make UML an even better modeling tool for modern object-oriented and component-based programming. The CD-ROM includes an electronic version of the book, and Poseidon for UML, Community Edition 2.2, a popular UML modeling tool you can use with the lessons in this book to create UML diagrams immediately.

The easy way to get started coding and analyzing data in the R programming language Statistical Analysis with R Essentials For Dummies is your reference to all the core concepts about R—the widely used, open-source programming language and data analysis tool. This no-nonsense book gets right to the point, eliminating review material, wordy explanations, and fluff. Understand all you need to know about the foundations of R, swiftly and clearly. Perfect for a brush-up on the basics or as an everyday desk reference on the job, this is the reliable little book you can always turn to for answers. Get a quick and thorough intro to the basic concepts of coding for data analysis in R Review what you've already learned or pick up essential new skills Perform statistical analysis for school, business, and beyond with R programming Keep this concise reference book handy for jogging your memory as you work This book is to the point, focusing on the key topics readers need to know about this popular programming language. Great for supplementing classroom learning, reviewing for a certification, or staying knowledgeable on the job.

Wenn Sie R von Grund auf kennenlernen und auch die fortgeschrittenen Techniken zur Lösung gängiger Aufgaben bei der Datenanalyse mit R beherrschen möchten, dann liegen Sie mit diesem Buch goldrichtig. Es bietet Ihnen nicht nur einen Überblick über die Programmierung in R und die Arbeit mit der Sprache, sondern geht auch auf die Arten von Projekten und Anwendungen ein, die R-Entwicklerinnen und -Entwickler häufig in Angriff nehmen müssen. Statistische Analysen, Datenvisualisierungen, maschinelles Lernen und Datenmanagement mit R: All das lernen Sie mit diesem Buch intensiv kennen.

Dieses Buch bietet einen einzigartigen Learning-by-Doing-Ansatz. Sie werden Ihre R-Fähigkeiten erweitern und vertiefen, indem Sie eine Vielzahl von Beispielprojekten aus der Praxis nachvollziehen. Erlernen Sie die Grundlagen von R und RStudio sowie Möglichkeiten der Datenreduktion, des Mapping und der Bildverarbeitung. Dabei kommen Werkzeuge zum Einsatz, die Daten grafisch auswerten, die Analyse interaktiv machen oder die maschinelles Lernen einsetzen. Und auf dem Weg dahin können Sie sogar Ihr Statistikwissen noch erweitern. Warum sollten Sie das Rad neu erfinden, wenn es schon fertige R-Pakete gibt, die Ihre Bedürfnisse bedienen? Hier lernen Sie sie kennen.

Als angehender Wissenschaftler, Manager oder Unternehmensberater sind Sie darauf angewiesen, Daten mit statistischen Methoden fehlerfrei auszuwerten und die Ergebnisse überzeugend darzustellen? Statistik ist allerdings nicht gerade Ihr Fachgebiet? Dann ist dieses Buch genau richtig für Sie. In jedem Kapitel führt der Autor eine statistische Methode vor und erklärt, was man an den Ergebnissen ablesen kann und was nicht. Unmittelbar im Anschluss beschreibt er, wie man die Methode in R implementiert. Denn R lässt mit den dazugehörigen Paketen keine Wünsche in der Statistik offen. In der Regel genügen wenige Zeilen Programmcode. Und das Beste ist: Die statistischen Pakete von R sind kostenlos. Dieses Buch hilft, bessere Entscheidungen zu treffen und Datenmüll zu vermeiden.

|17 037bger 050 a 051 m 070b07700032 070aBVB 070 079 077 $a20$c1 077 $a91$c2 077 $a12$c1 077 $a29$c3 077 $aM347$c2 077 $a1028$c2 077 $a1046$c2 077 $a863$c1 100 Schmuller, Joseph 304 Teach yourself UML in 24 hours dt. 331 Jetzt lerne ich UML 335 der einfache Einstieg in die visuelle Objektmodellierung mit Unified Modeling Language ; [Start ohne Vorwissen!] 359 Jospeh Schmuller 370bUML 410 München 412 Markt-&-Technik-Verl. 425 2000 425a2000 433 464 S. : Ill. 437 1 CD-ROM (12 cm) 451bJetzt lerne ich ... 540aISBN 3-8272-5763-8 568 00,A45,1075 700gST 230 700tDAT 368f 700tDAT 347f 700gST 250 U42