Practical Business Analytics Using SAS
Practical Business Analytics Using SAS: A Hands-on Guide shows SAS users and businesspeople how to analyze data effectively in real-life business scenarios. The book begins with an introduction to analytics, analytical tools, and SAS programming. The authors—both SAS, statistics, analytics, and big data experts—first show how SAS is used in business, and then how to get started programming in SAS by importing data and learning how to manipulate it. Besides illustrating SAS basic functions, you will see how each function can be used to get the information you need to improve business performance. Each chapter offers hands-on exercises drawn from real business situations. The book then provides an overview of statistics, as well as instruction on exploring data, preparing it for analysis, and testing hypotheses. You will learn how to use SAS to perform analytics and model using both basic and advanced techniques like multiple regression, logistic regression, and time series ana ...
Practical Business Analytics Using SAS: A Hands-on Guide shows SAS users and businesspeople how to analyze data effectively in real-life business scenarios. The book begins with an introduction to analytics, analytical tools, and SAS programming. The authors—both SAS, statistics, analytics, and big data experts—first show how SAS is used in business, and then how to get started programming in SAS by importing data and learning how to manipulate it. Besides illustrating SAS basic functions, you will see how each function can be used to get the information you need to improve business performance. Each chapter offers hands-on exercises drawn from real business situations. The book then provides an overview of statistics, as well as instruction on exploring data, preparing it for analysis, and testing hypotheses. You will learn how to use SAS to perform analytics and model using both basic and advanced techniques like multiple regression, logistic regression, and time series ana ...
Beginning Amazon Web Services with Node.js
Beginning Amazon Web Services with Node.js teaches any novice Node.js developer to configure, deploy, and maintain scalable small to large scale Node.js applications in Amazon Web Services. Hosting a Node.js application in a production environment usually means turning to PaaS hosting, but this approach brings problems. Deploying Node.js directly to AWS solves the problems you encounter in these situations, enabling you to cut out the middle man. You will begin with a basic RESTful web service in Node.js, using the popular Express.js framework, pre-built and ready to run in your local environment. You will be introduced to the most powerful tools in AWS, and learn how to configure your project to take advantage of them. You will be guided through the steps of getting the various key components to work together on AWS. Through code samples using the AWS JavaScript SDK and tutorials in the AWS console, you will gain the knowledge to incorporate secure user authentication, server auto- ...
Beginning Amazon Web Services with Node.js teaches any novice Node.js developer to configure, deploy, and maintain scalable small to large scale Node.js applications in Amazon Web Services. Hosting a Node.js application in a production environment usually means turning to PaaS hosting, but this approach brings problems. Deploying Node.js directly to AWS solves the problems you encounter in these situations, enabling you to cut out the middle man. You will begin with a basic RESTful web service in Node.js, using the popular Express.js framework, pre-built and ready to run in your local environment. You will be introduced to the most powerful tools in AWS, and learn how to configure your project to take advantage of them. You will be guided through the steps of getting the various key components to work together on AWS. Through code samples using the AWS JavaScript SDK and tutorials in the AWS console, you will gain the knowledge to incorporate secure user authentication, server auto- ...
AngularJS: Novice to Ninja
AngularJS: Novice to Ninja is the perfect book to journey into the world of AngularJS, the superheroic JavaScript framework. Developed and maintained by Google, AngularJS brings the Model-View-Controller (MVC) pattern to JavaScript applications and provides a high quality foundation for building complex and powerful apps quickly. You'll begin with the basics including Angular's magical two-way data binding and how to write test-friendly code. In no time you'll be moving on to understand more advanced topics like scope, dependency injection, filters, and much more. ...
AngularJS: Novice to Ninja is the perfect book to journey into the world of AngularJS, the superheroic JavaScript framework. Developed and maintained by Google, AngularJS brings the Model-View-Controller (MVC) pattern to JavaScript applications and provides a high quality foundation for building complex and powerful apps quickly. You'll begin with the basics including Angular's magical two-way data binding and how to write test-friendly code. In no time you'll be moving on to understand more advanced topics like scope, dependency injection, filters, and much more. ...
Lo-Dash Essentials
Lo-Dash Essentials walks you through the Lo-Dash utility library, which promises consistency and performance in JavaScript development. This book looks into the most common functions and the various contexts in which they're used. You'll first start with object types and their properties, then you'll dive into larger development patterns, such as MapReduce, and how to chain functionality together. Following this, you'll learn how to make suitable builds for various environments, and discover how high-level patterns complement one another and how they lead to reusable building blocks for applications. Finally, you will gain some practical exposure to Lo-Dash by working alongside other libraries, and learn some useful techniques for improving performance. ...
Lo-Dash Essentials walks you through the Lo-Dash utility library, which promises consistency and performance in JavaScript development. This book looks into the most common functions and the various contexts in which they're used. You'll first start with object types and their properties, then you'll dive into larger development patterns, such as MapReduce, and how to chain functionality together. Following this, you'll learn how to make suitable builds for various environments, and discover how high-level patterns complement one another and how they lead to reusable building blocks for applications. Finally, you will gain some practical exposure to Lo-Dash by working alongside other libraries, and learn some useful techniques for improving performance. ...
IntelliJ IDEA Essentials
Starting with a walkthrough of the main workspace, you will get up and running with IDEA from the word go. You will learn how to exploit IDEA's software development tools and use the various product features such as source code control, the debugger, and the many code generation tools. You will then move on to advanced topics such as how IntelliJ helps in version control, managing change lists, viewing differences and changes, and reverting changes. You will also learn how IDEA can be used for agile development and web development, as well as its integration with frameworks such as Gradle. Complete with tips and tricks, this book will make sure that you have an in-depth and extensive knowledge of informed programming. ...
Starting with a walkthrough of the main workspace, you will get up and running with IDEA from the word go. You will learn how to exploit IDEA's software development tools and use the various product features such as source code control, the debugger, and the many code generation tools. You will then move on to advanced topics such as how IntelliJ helps in version control, managing change lists, viewing differences and changes, and reverting changes. You will also learn how IDEA can be used for agile development and web development, as well as its integration with frameworks such as Gradle. Complete with tips and tricks, this book will make sure that you have an in-depth and extensive knowledge of informed programming. ...
Machine Learning with Spark
Apache Spark is a framework for distributed computing that is designed from the ground up to be optimized for low latency tasks and in-memory data storage. It is one of the few frameworks for parallel computing that combines speed, scalability, in-memory processing, and fault tolerance with ease of programming and a flexible, expressive, and powerful API design. This book guides you through the basics of Spark's API used to load and process data and prepare the data to use as input to the various machine learning models. There are detailed examples and real-world use cases for you to explore common machine learning models including recommender systems, classification, regression, clustering, and dimensionality reduction. You will cover advanced topics such as working with large-scale text data, and methods for online machine learning and model evaluation using Spark Streaming. ...
Apache Spark is a framework for distributed computing that is designed from the ground up to be optimized for low latency tasks and in-memory data storage. It is one of the few frameworks for parallel computing that combines speed, scalability, in-memory processing, and fault tolerance with ease of programming and a flexible, expressive, and powerful API design. This book guides you through the basics of Spark's API used to load and process data and prepare the data to use as input to the various machine learning models. There are detailed examples and real-world use cases for you to explore common machine learning models including recommender systems, classification, regression, clustering, and dimensionality reduction. You will cover advanced topics such as working with large-scale text data, and methods for online machine learning and model evaluation using Spark Streaming. ...
Learning Python Data Visualization
The best applications use data and present it in a meaningful, easy-to-understand way. Packed with sample code and tutorials, this book will walk you through installing common charts, graphics, and utility libraries for the Python programming language. Firstly you will discover how to install and reference libraries in Visual Studio or Eclipse. We will then go on to build simple graphics and charts that allow you to generate HTML5-ready SVG charts and graphs, along with testing and validating your data sources. We will also cover parsing data from the Web and offline sources, and building a Python charting application using dynamic data. Lastly, we will review other popular tools and frameworks used to create charts and import/export chart data. By the end of this book, you will be able to represent complex sets of data using Python. ...
The best applications use data and present it in a meaningful, easy-to-understand way. Packed with sample code and tutorials, this book will walk you through installing common charts, graphics, and utility libraries for the Python programming language. Firstly you will discover how to install and reference libraries in Visual Studio or Eclipse. We will then go on to build simple graphics and charts that allow you to generate HTML5-ready SVG charts and graphs, along with testing and validating your data sources. We will also cover parsing data from the Web and offline sources, and building a Python charting application using dynamic data. Lastly, we will review other popular tools and frameworks used to create charts and import/export chart data. By the end of this book, you will be able to represent complex sets of data using Python. ...
Hibernate Recipes, 2nd Edition
Hibernate Recipes, 2nd Edition contains a collection of code recipes and templates for learning and building Hibernate solutions for you and your clients, including how to work with the Spring Framework and the JPA. This book is your pragmatic day-to-day reference and guide for doing all things involving Hibernate. There are many books focused on learning Hibernate, but this book takes you further and shows how you can apply it practically in your daily work. Hibernate Recipes, Second Edition is a must have book for your library. Hibernate 4.x continues to be the most popular out-of-the-box, open source framework solution for Java persistence and data/database accessibility techniques and patterns and it works well with the most popular open source enterprise Java framework of all, the Spring Framework. Hibernate is used for e-commerce–based web applications as well as heavy-duty transactional systems for the enterprise. ...
Hibernate Recipes, 2nd Edition contains a collection of code recipes and templates for learning and building Hibernate solutions for you and your clients, including how to work with the Spring Framework and the JPA. This book is your pragmatic day-to-day reference and guide for doing all things involving Hibernate. There are many books focused on learning Hibernate, but this book takes you further and shows how you can apply it practically in your daily work. Hibernate Recipes, Second Edition is a must have book for your library. Hibernate 4.x continues to be the most popular out-of-the-box, open source framework solution for Java persistence and data/database accessibility techniques and patterns and it works well with the most popular open source enterprise Java framework of all, the Spring Framework. Hibernate is used for e-commerce–based web applications as well as heavy-duty transactional systems for the enterprise. ...
Practical C++ Financial Programming
Practical C++ Financial Programming is a hands-on book for programmers wanting to apply C++ to programming problems in the financial industry. The book explains those aspects of the language that are more frequently used in writing financial software, including the STL, templates, and various numerical libraries. The book also describes many of the important problems in financial engineering that are part of the day-to-day work of financial programmers in large investment banks and hedge funds. The author has extensive experience in the New York City financial industry that is now distilled into this handy guide. Focus is on providing working solutions for common programming problems. Examples are plentiful and provide value in the form of ready-to-use solutions that you can immediately apply in your day-to-day work. You'll learn to design efficient, numerical classes for use in finance, as well as to use those classes provided by Boost and other libraries. ...
Practical C++ Financial Programming is a hands-on book for programmers wanting to apply C++ to programming problems in the financial industry. The book explains those aspects of the language that are more frequently used in writing financial software, including the STL, templates, and various numerical libraries. The book also describes many of the important problems in financial engineering that are part of the day-to-day work of financial programmers in large investment banks and hedge funds. The author has extensive experience in the New York City financial industry that is now distilled into this handy guide. Focus is on providing working solutions for common programming problems. Examples are plentiful and provide value in the form of ready-to-use solutions that you can immediately apply in your day-to-day work. You'll learn to design efficient, numerical classes for use in finance, as well as to use those classes provided by Boost and other libraries. ...
Machine Learning in Python
Machine Learning in Python shows you how to successfully analyze data using only two core machine learning algorithms, and how to apply them using Python. By focusing on two algorithm families that effectively predict outcomes, this book is able to provide full descriptions of the mechanisms at work, and the examples that illustrate the machinery with specific, hackable code. The algorithms are explained in simple terms with no complex math and applied using Python, with guidance on algorithm selection, data preparation, and using the trained models in practice. You will learn a core set of Python programming techniques, various methods of building predictive models, and how to measure the performance of each model to ensure that the right one is used. The chapters on penalized linear regression and ensemble methods dive deep into each of the algorithms, and you can use the sample code in the book to develop your own data analysis solutions. Machine learning algorithms are at the co ...
Machine Learning in Python shows you how to successfully analyze data using only two core machine learning algorithms, and how to apply them using Python. By focusing on two algorithm families that effectively predict outcomes, this book is able to provide full descriptions of the mechanisms at work, and the examples that illustrate the machinery with specific, hackable code. The algorithms are explained in simple terms with no complex math and applied using Python, with guidance on algorithm selection, data preparation, and using the trained models in practice. You will learn a core set of Python programming techniques, various methods of building predictive models, and how to measure the performance of each model to ensure that the right one is used. The chapters on penalized linear regression and ensemble methods dive deep into each of the algorithms, and you can use the sample code in the book to develop your own data analysis solutions. Machine learning algorithms are at the co ...