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JSL Companion: Applications of the JMP Scripting Language provides novice scripters with a resource that helps them go beyond the basics of the JMP Scripting Language (JSL) and serves as a companion to writing applications. Taking a task-oriented approach rather than focusing on showing the syntax, the authors help users with much more than the basic task of capturing a script. The book starts with an introduction that is suitable for someone who is just beginning to learn JSL. It quickly moves to importing and saving data, working with variables, modifying data tables, and working with JMP data structures (lists, matrices, and associative arrays). Later chapters deal with JMP output, communicating with users, and customizing displays. The last two chapters cover writing flexible code and include several tips that help solve problems with which novice users often struggle. This book is part of the SAS Press program.
This book contains the essentials for getting started with the JMP Scripting Language (JSL), which will enable you to create and use scripts to process various tasks during a single execution. Divided into two distinct sections, the first section of "Jump into JMP Scripting" includes JSL topics that are explained in an easy-to-understand style that is based on the extensive experience of Wendy Murphrey and Rosemary Lucas. Each topic includes step-by-step instructions and plenty of code examples. The second section of the book includes many examples of how to perform specific tasks in JSL. Using a unique question and answer format, each example answers a question with a script sample. In addition, many examples include a discussion section to explain functions in detail or to provide additional references. The goal is to make learning JSL easy and maybe a little bit of fun along the way.
R for Business Analytics looks at some of the most common tasks performed by business analysts and helps the user navigate the wealth of information in R and its 4000 packages. With this information the reader can select the packages that can help process the analytical tasks with minimum effort and maximum usefulness. The use of Graphical User Interfaces (GUI) is emphasized in this book to further cut down and bend the famous learning curve in learning R. This book is aimed to help you kick-start with analytics including chapters on data visualization, code examples on web analytics and social media analytics, clustering, regression models, text mining, data mining models and forecasting. The book tries to expose the reader to a breadth of business analytics topics without burying the user in needless depth. The included references and links allow the reader to pursue business analytics topics. This book is aimed at business analysts with basic programming skills for using R for Business Analytics. Note the scope of the book is neither statistical theory nor graduate level research for statistics, but rather it is for business analytics practitioners. Business analytics (BA) refers to the field of exploration and investigation of data generated by businesses. Business Intelligence (BI) is the seamless dissemination of information through the organization, which primarily involves business metrics both past and current for the use of decision support in businesses. Data Mining (DM) is the process of discovering new patterns from large data using algorithms and statistical methods. To differentiate between the three, BI is mostly current reports, BA is models to predict and strategize and DM matches patterns in big data. The R statistical software is the fastest growing analytics platform in the world, and is established in both academia and corporations for robustness, reliability and accuracy. The book utilizes Albert Einstein’s famous remarks on making things as simple as possible, but no simpler. This book will blow the last remaining doubts in your mind about using R in your business environment. Even non-technical users will enjoy the easy-to-use examples. The interviews with creators and corporate users of R make the book very readable. The author firmly believes Isaac Asimov was a better writer in spreading science than any textbook or journal author.
If you are a software testing professional, a developer, or a student looking forward to get a job in software industry, this book will help in creating automation test scripts for your web applications, this is the right guide for you! As a prerequisite, a basic knowledge in programming languages are expected, although any previous knowledge of testing tools are not necessary. Learn for software testing job opportunities on how automation frameworks designed and understand how to overcome limitations of not knowing such testing tools in the past Setup and use automation tools for twelve different automation frameworks such as Selenium, HP UFT (formerly QTP),Ranorex, RFT and other famous automation testing tools Learn how to deal with the advanced features of automation tools which will be helpful for software testing job opportunities! Understand how the most wanted automation technologies can be designed such as excel automation frameworks which will help for testing projects of leading clients across US,UK. Practice the sample projects using clear instructions from each chapter and apply for relevant software testing jobs in your desired location!
Bolivia has experienced two decades of unprecedented popular resistance to the consequences of neoliberal policies, resulting in the resignation and flight of its president in October 2003. This unusual book uncovers the reasons and processes behind the rising opposition - mirrored in country after country in Latin America - to this currently fashionable, internationally prescribed approach to economic development. It explores the problems faced by governments in reproducing global strategies at the national level, the tensions between markets and democracy, state restructuring, citizenship and property rights. It points to the problems inherent in retaining neoliberalism as the dominant paradigm in Latin America for the foreseeable future and the unlikely prospect of it putting down real roots of approval and legitimacy.
The latest tactics for thwarting digital attacks “Our new reality is zero-day, APT, and state-sponsored attacks. Today, more than ever, security professionals need to get into the hacker’s mind, methods, and toolbox to successfully deter such relentless assaults. This edition brings readers abreast with the latest attack vectors and arms them for these continually evolving threats.” --Brett Wahlin, CSO, Sony Network Entertainment “Stop taking punches--let’s change the game; it’s time for a paradigm shift in the way we secure our networks, and Hacking Exposed 7 is the playbook for bringing pain to our adversaries.” --Shawn Henry, former Executive Assistant Director, FBI Bolster your system’s security and defeat the tools and tactics of cyber-criminals with expert advice and defense strategies from the world-renowned Hacking Exposed team. Case studies expose the hacker’s latest devious methods and illustrate field-tested remedies. Find out how to block infrastructure hacks, minimize advanced persistent threats, neutralize malicious code, secure web and database applications, and fortify UNIX networks. Hacking Exposed 7: Network Security Secrets & Solutions contains all-new visual maps and a comprehensive “countermeasures cookbook.” Obstruct APTs and web-based meta-exploits Defend against UNIX-based root access and buffer overflow hacks Block SQL injection, spear phishing, and embedded-code attacks Detect and terminate rootkits, Trojans, bots, worms, and malware Lock down remote access using smartcards and hardware tokens Protect 802.11 WLANs with multilayered encryption and gateways Plug holes in VoIP, social networking, cloud, and Web 2.0 services Learn about the latest iPhone and Android attacks and how to protect yourself
Learn the theory behind and methods for predictive modeling using SAS Enterprise Miner. Learn how to produce predictive models and prepare presentation-quality graphics in record time with Predictive Modeling with SAS Enterprise Miner: Practical Solutions for Business Applications, Second Edition. If you are a graduate student, researcher, or statistician interested in predictive modeling; a data mining expert who wants to learn SAS Enterprise Miner; or a business analyst looking for an introduction to predictive modeling using SAS Enterprise Miner, you'll be able to develop predictive models quickly and effectively using the theory and examples presented in this book. Author Kattamuri Sarma offers the theory behind, programming steps for, and examples of predictive modeling with SAS Enterprise Miner, along with exercises at the end of each chapter. You'll gain a comprehensive awareness of how to find solutions for your business needs. This second edition features expanded coverage of the SAS Enterprise Miner nodes, now including File Import, Time Series, Variable Clustering, Cluster, Interactive Binning, Principal Components, AutoNeural, DMNeural, Dmine Regression, Gradient Boosting, Ensemble, and Text Mining. Develop predictive models quickly, learn how to test numerous models and compare the results, gain an in-depth understanding of predictive models and multivariate methods, and discover how to do in-depth analysis. Do it all with Predictive Modeling with SAS Enterprise Miner. This book is part of the SAS Press program.

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