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5,209 result(s) for "Programming Languages, Compilers, Interpreters."
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Business analytics using R - A practical approach
Learn the fundamental aspects of the business statistics, data mining, and machine learning techniques required to understand the huge amount of data generated by your organization. This book explains practical business analytics through examples, covers the steps involved in using it correctly, and shows you the context in which a particular technique does not make sense. Further, Practical Business Analytics using R helps you understand specific issues faced by organizations and how the solutions to these issues can be facilitated by business analytics. This book will discuss and explore the following through examples and case studies: An introduction to R: data management and R functions The architecture, framework, and life cycle of a business analytics project Descriptive analytics using R: descriptive statistics and data cleaning Data mining: classification, association rules, and clustering Predictive analytics: simple regression, multiple regression, and logistic regression This book includes case studies on important business analytic techniques, such as classification, association, clustering, and regression. The R language is the statistical tool used to demonstrate the concepts throughout the book. You will:? Write R programs to handle data? Build analytical models and draw useful inferences from them? Discover the basic concepts of data mining and machine learning? Carry out predictive modeling? Define a business issue as an analytical problem.
JavaScript Essentials for SAP ABAP Developers
Easily master JavaScript (JS) with this quick guide and develop mobile and desktop applications for SAP Fiori. The book equips ABAP/SAP developers with the essential topics to get started with JS. The focus of JavaScript Essentials for SAP ABAP Developers is on the parts of the JS language that are useful from the perspective of an ABAP developer. The book starts with a brief intro to HTML, the basics of JS, and how to create and run a simple JS program. It then dives into the details of the language, showing how to make simple programs. It covers loops in detail, mathematical operations, and string and regular expressions in JS, as well as a taste of functions, followed by objects and object-oriented programming in JavaScript.
Test Driven Development in Ruby
Learn the basics of test driven development (TDD) using Ruby. You will carry out problem domain analysis, solution domain analysis, designing test cases, and writing tests first. These fundamental concepts will give you a solid TDD foundation to build upon. Test Driven Development in Ruby is written by a developer for developers.The concepts are first explained, then a coding demo illustrates how to apply the theory in practice. At the end of each chapter an exercise is given to reinforce the material. Complete with working files and code samples, you'll be able to work alongside the author, a trainer, by following the material in this book.What You Will LearnCarry out problem domain analysis, solution domain analysis, designing test cases, and writing tests firstUse assertionsDiscover the structure of a test and the TDD cycleGain an understanding of minimal implementation, starter test, story test, and next testHandle refactoring using RubyHide implementation detailsTest precisely and concretelyMake your code robustWho This Book Is ForExperienced Ruby programmers or web developers with some prior experience with Ruby.
Deep learning with Python : a hands-on introduction
Discover the practical aspects of implementing deep-learning solutions using the rich Python ecosystem. This book bridges the gap between the academic state-of-the-art and the industry state-of-the-practice by introducing you to deep learning frameworks such as Keras, Theano, and Caffe. The practicalities of these frameworks is often acquired by practitioners by reading source code, manuals, and posting questions on community forums, which tends to be a slow and a painful process. Deep Learning with Python allows you to ramp up to such practical know-how in a short period of time and focus more on the domain, models, and algorithms.This book briefly covers the mathematical prerequisites and fundamentals of deep learning, making this book a good starting point for software developers who want to get started in deep learning. A brief survey of deep learning architectures is also included.Deep Learning with Python also introduces you to key concepts of automatic differentiation and GPU computation which, while not central to deep learning, are critical when it comes to conducting large scale experiments. What You Will Learn Leverage deep learning frameworks in Python namely, Keras, Theano, and Caffe Gain the fundamentals of deep learning with mathematical prerequisites Discover the practical considerations of large scale experiments Take deep learning models to productionWho This Book Is ForSoftware developers who want to try out deep learning as a practical solution to a particular problem. Software developers in a data science team who want to take deep learning models developed by data scientists to production.
Beginning KeystoneJS
Learn how to develop a complete and robust Node, express.js and MongoDB-based web application and mobile application backend quickly using KeystoneJS. You'll learn how KeystoneJS makes complicated things simple, without limiting the power or flexibility of node.js or the frameworks it is built on.Beginning KeystoneJS shows you how to build database-driven websites, applications, and APIs, all built upon Express, the defacto web server for Node.js that uses MongoDB as its storage backend. What You Will Learn Discover the setup and architecture of the KeystoneJS framework.See how easy it is to extend KeystoneJSUnderstand the custom types and fields provided out of the boxWrite clean markup and create templates using SwigUse the powerful editing options in the framework's responsive dashboardWho This Book Is ForTechnical and non-technical people who would like to build applications quickly to leverage structured data to improve productivity..
Handbook of Service Description
This handbook introduces an in-depth overview of service description efforts. It also highlights the recent unified service description language (USDL) in detail and discusses its methods.
Handbook of Formal Languages
The need for a comprehensive survey-type exposition on formal languages and related mainstream areas of computer science has been evident for some years. In the early 1970s, when . the book Formal Languages by the second­ mentioned editor appeared, it was still quite feasible to write a comprehensive book with that title and include also topics of current research interest. This would not be possible anymore. A standard-sized book on formal languages would either have to stay on a fairly low level or else be specialized and restricted to some narrow sector of the field. The setup becomes drastically different in a collection of contributions, where the best authorities in the world join forces, each of them concentrat­ ing on their own areas of specialization. The present three-volume Handbook constitutes such a unique collection. In these three volumes we present the current state of the art in formal language theory. We were most satisfied with the enthusiastic response given to our request for contributions by specialists representing various subfields. The need for a Handbook of Formal Languages was in many answers expressed in different ways: as an easily accessible his­ torical reference, a general source of information, an overall course-aid, and a compact collection of material for self-study. We are convinced that the final result will satisfy such various needs. The theory of formal languages constitutes the stem or backbone of the field of science now generally known as theoretical computer science.
Beginning Neo4j
This book provides an introduction to the world of graph databases, and the benefits they can bring to your applications. Neo4j is the most established graph database on the market, and it's always improving to bring more of its benefits to you. It will take you from the installation of Neo4j through to building a full application with Neo4j at its heart, and everything in between. You'll get everything up and running and learn how to use Neo4j to build up recommendations, relationships and calculate shortest routes between two locations. With example data models, best practices, and an application putting everything together, it will give you everything you need to get started with Neo4j. --
Programming for everyone in Java
This is a book about computer programming for everyone: artist, poet, student, doctor, accountant, or engineer. It assumes you know very little or nothing about how computers work. This book will show you how to write understandable computer programs in Java, a programming language widely used on the Internet. Why should we be interested in learning computer programming? Even though most readers will not wish to become professional programmers, programming is fun and useful. You will enjoy learning a new skill and becoming good at it. And, in today's world it is important for professionals in any field to appreciate what computers can (and cannot) do well. To reach this level of understanding, you must go beyond the routine skills of a computer user and learn the art of programming in some depth. While emphasizing general principles of programming this book: * Uses examples from the humanities only, requiring no math or engineering knowledge * Explains all programming concepts by means of complete programs * Concentrates on exercises solved by writing complete programs * Takes the reader from text input/output to object-oriented programming in the equivalent of a one semester class. * Gives the reader a solid background for follow-on courses on the graphics and networking facilities of Java. This book is a sound and complete introduction to programming and not just another Java reference book for those who already know how to program. Although the book uses Java, the same methods can be used for systematic programming in other languages, such as C, Fortran, and Pascal. The book makes a splendid text for a one semester course on beginning programming and for such a course there are teaching aids available at the author's website. Professor Per Brinch Hansen, is one of the leading pioneers in computer programming, and his insight and experience make learning proper computer programming in Java fun and easy for everyone.
Beginning R
Beginning R, Second Edition is a hands-on book showing howto use the R language, write and save R scripts, read in data files, and writecustom statistical functions as well as use built in functions. This book showsthe use of R in specific cases such as one-way ANOVA analysis, linear andlogistic regression, data visualization, parallel processing, bootstrapping,and more. It takes a hands-on, example-based approach incorporating bestpractices with clear explanations of the statistics being done. It has beencompletely re-written since the first edition to make use of the latestpackages and features in R version 3.R is a powerful open-source language and programmingenvironment for statistics and has become the de facto standard for doing,teaching, and learning computational statistics. R is both an object-oriented language and afunctional language that is easy to learn, easy to use, and completely free. Alarge community of dedicated R users and programmers provides an excellentsource of R code, functions, and data sets, with a constantly evolvingecosystem of packages providing new functionality for data analysis. R has alsobecome popular in commercial use at companies such as Microsoft, Google, andOracle. Your investment in learning R is sure to pay off in the long term as Rcontinues to grow into the go to language for data analysis and research.What You Will Learn:How to acquire and install RHot to import and export data and scriptsHow to analyze data and generate graphicsHow to program in R to write custom functionsHot to use R for interactive statistical explorationsHow to conduct bootstrapping and other advancedtechniques