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Learning to Program with MATLAB: Building GUI Tools
by Craig S. LentLearning to Program with MATLAB Introductory text integrating science, mathematics, and engineering to give a basic understanding of the fundamentals of computer programming with MATLAB Learning to Program with MATLAB: Building GUI Tools, Second Edition serves as a compact introduction to computer programming using the MATLAB language, covering elements of both program and graphical user interface (GUI) design to enable readers to create computer programs just like the ones they are accustomed to interacting with. Rather than being encyclopedic in scope, the goal of the text is to describe what users will find most useful and point to other features. Descriptions and examples of some of the most useful functions are included throughout, particularly with regards to engineering and science applications. The work also includes updated videos and problem solutions on an instructor companion website. The first edition of Learning to Program with MATLAB employed the MATLAB graphical user interface design environment (GUIDE) to develop the GUI tools. The second edition is based on the new and improved App Designer program, which has supplanted GUIDE. This edition includes: Core concepts of computer programming using MATLAB, such as arrays, loops, functions, and basic data structures How to write your own MATLAB functions, covering topics such as local workspaces, multiple outputs, function files, and other functional forms The new string class and table class, some new features of function arguments, and re-written sections for building GUI tools with App Designer Syntax for graphics and App Designer features, plus examples demonstrating the new way to handle string information Starting with the basics and building up to an emphasis on GUI tools, Learning to Program with MATLAB is a comprehensive introduction to programming in a robust and multipurpose language, making it an ideal classroom resource for both students and instructors in related programs of study.
Learning to Program with MATLAB: Building GUI Tools
by Craig S. LentLearning to Program with MATLAB Introductory text integrating science, mathematics, and engineering to give a basic understanding of the fundamentals of computer programming with MATLAB Learning to Program with MATLAB: Building GUI Tools, Second Edition serves as a compact introduction to computer programming using the MATLAB language, covering elements of both program and graphical user interface (GUI) design to enable readers to create computer programs just like the ones they are accustomed to interacting with. Rather than being encyclopedic in scope, the goal of the text is to describe what users will find most useful and point to other features. Descriptions and examples of some of the most useful functions are included throughout, particularly with regards to engineering and science applications. The work also includes updated videos and problem solutions on an instructor companion website. The first edition of Learning to Program with MATLAB employed the MATLAB graphical user interface design environment (GUIDE) to develop the GUI tools. The second edition is based on the new and improved App Designer program, which has supplanted GUIDE. This edition includes: Core concepts of computer programming using MATLAB, such as arrays, loops, functions, and basic data structures How to write your own MATLAB functions, covering topics such as local workspaces, multiple outputs, function files, and other functional forms The new string class and table class, some new features of function arguments, and re-written sections for building GUI tools with App Designer Syntax for graphics and App Designer features, plus examples demonstrating the new way to handle string information Starting with the basics and building up to an emphasis on GUI tools, Learning to Program with MATLAB is a comprehensive introduction to programming in a robust and multipurpose language, making it an ideal classroom resource for both students and instructors in related programs of study.
Learning to Quantify (The Information Retrieval Series #47)
by Andrea Esuli Alessandro Fabris Alejandro Moreo Fabrizio SebastianiThis open access book provides an introduction and an overview of learning to quantify (a.k.a. “quantification”), i.e. the task of training estimators of class proportions in unlabeled data by means of supervised learning. In data science, learning to quantify is a task of its own related to classification yet different from it, since estimating class proportions by simply classifying all data and counting the labels assigned by the classifier is known to often return inaccurate (“biased”) class proportion estimates. The book introduces learning to quantify by looking at the supervised learning methods that can be used to perform it, at the evaluation measures and evaluation protocols that should be used for evaluating the quality of the returned predictions, at the numerous fields of human activity in which the use of quantification techniques may provide improved results with respect to the naive use of classification techniques, and at advanced topics in quantification research. The book is suitable to researchers, data scientists, or PhD students, who want to come up to speed with the state of the art in learning to quantify, but also to researchers wishing to apply data science technologies to fields of human activity (e.g., the social sciences, political science, epidemiology, market research) which focus on aggregate (“macro”) data rather than on individual (“micro”) data.
Learning to Rank for Information Retrieval
by Tie-Yan LiuDue to the fast growth of the Web and the difficulties in finding desired information, efficient and effective information retrieval systems have become more important than ever, and the search engine has become an essential tool for many people. The ranker, a central component in every search engine, is responsible for the matching between processed queries and indexed documents. Because of its central role, great attention has been paid to the research and development of ranking technologies. In addition, ranking is also pivotal for many other information retrieval applications, such as collaborative filtering, definition ranking, question answering, multimedia retrieval, text summarization, and online advertisement. Leveraging machine learning technologies in the ranking process has led to innovative and more effective ranking models, and eventually to a completely new research area called “learning to rank”. Liu first gives a comprehensive review of the major approaches to learning to rank. For each approach he presents the basic framework, with example algorithms, and he discusses its advantages and disadvantages. He continues with some recent advances in learning to rank that cannot be simply categorized into the three major approaches – these include relational ranking, query-dependent ranking, transfer ranking, and semisupervised ranking. His presentation is completed by several examples that apply these technologies to solve real information retrieval problems, and by theoretical discussions on guarantees for ranking performance. This book is written for researchers and graduate students in both information retrieval and machine learning. They will find here the only comprehensive description of the state of the art in a field that has driven the recent advances in search engine development.
Learning to Rank for Information Retrieval and Natural Language Processing (Synthesis Lectures on Human Language Technologies)
by Hang LiLearning to rank refers to machine learning techniques for training the model in a ranking task. Learning to rank is useful for many applications in information retrieval, natural language processing, and data mining. Intensive studies have been conducted on the problem recently and significant progress has been made. This lecture gives an introduction to the area including the fundamental problems, existing approaches, theories, applications, and future work. The author begins by showing that various ranking problems in information retrieval and natural language processing can be formalized as two basic ranking tasks, namely ranking creation (or simply ranking) and ranking aggregation. In ranking creation, given a request, one wants to generate a ranking list of offerings based on the features derived from the request and the offerings. In ranking aggregation, given a request, as well as a number of ranking lists of offerings, one wants to generate a new ranking list of the offerings. Ranking creation (or ranking) is the major problem in learning to rank. It is usually formalized as a supervised learning task. The author gives detailed explanations on learning for ranking creation and ranking aggregation, including training and testing, evaluation, feature creation, and major approaches. Many methods have been proposed for ranking creation. The methods can be categorized as the pointwise, pairwise, and listwise approaches according to the loss functions they employ. They can also be categorized according to the techniques they employ, such as the SVM based, Boosting SVM, Neural Network based approaches. The author also introduces some popular learning to rank methods in details. These include PRank, OC SVM, Ranking SVM, IR SVM, GBRank, RankNet, LambdaRank, ListNet & ListMLE, AdaRank, SVM MAP, SoftRank, Borda Count, Markov Chain, and CRanking. The author explains several example applications of learning to rank including web search, collaborative filtering, definition search, keyphrase extraction, query dependent summarization, and re-ranking in machine translation. A formulation of learning for ranking creation is given in the statistical learning framework. Ongoing and future research directions for learning to rank are also discussed. Table of Contents: Introduction / Learning for Ranking Creation / Learning for Ranking Aggregation / Methods of Learning to Rank / Applications of Learning to Rank / Theory of Learning to Rank / Ongoing and Future Work
Learning to Rank for Information Retrieval and Natural Language Processing, Second Edition (Synthesis Lectures on Human Language Technologies)
by Hang LiLearning to rank refers to machine learning techniques for training a model in a ranking task. Learning to rank is useful for many applications in information retrieval, natural language processing, and data mining. Intensive studies have been conducted on its problems recently, and significant progress has been made. This lecture gives an introduction to the area including the fundamental problems, major approaches, theories, applications, and future work. The author begins by showing that various ranking problems in information retrieval and natural language processing can be formalized as two basic ranking tasks, namely ranking creation (or simply ranking) and ranking aggregation. In ranking creation, given a request, one wants to generate a ranking list of offerings based on the features derived from the request and the offerings. In ranking aggregation, given a request, as well as a number of ranking lists of offerings, one wants to generate a new ranking list of the offerings. Ranking creation (or ranking) is the major problem in learning to rank. It is usually formalized as a supervised learning task. The author gives detailed explanations on learning for ranking creation and ranking aggregation, including training and testing, evaluation, feature creation, and major approaches. Many methods have been proposed for ranking creation. The methods can be categorized as the pointwise, pairwise, and listwise approaches according to the loss functions they employ. They can also be categorized according to the techniques they employ, such as the SVM based, Boosting based, and Neural Network based approaches. The author also introduces some popular learning to rank methods in details. These include: PRank, OC SVM, McRank, Ranking SVM, IR SVM, GBRank, RankNet, ListNet & ListMLE, AdaRank, SVM MAP, SoftRank, LambdaRank, LambdaMART, Borda Count, Markov Chain, and CRanking. The author explains several example applications of learning to rank including web search, collaborative filtering, definition search, keyphrase extraction, query dependent summarization, and re-ranking in machine translation. A formulation of learning for ranking creation is given in the statistical learning framework. Ongoing and future research directions for learning to rank are also discussed. Table of Contents: Learning to Rank / Learning for Ranking Creation / Learning for Ranking Aggregation / Methods of Learning to Rank / Applications of Learning to Rank / Theory of Learning to Rank / Ongoing and Future Work
Learning to Solve Complex Scientific Problems
by David H. JonassenProblem solving is implicit in the very nature of all science, and virtually all scientists are hired, retained, and rewarded for solving problems. Although the need for skilled problem solvers has never been greater, there is a growing disconnect between the need for problem solvers and the educational capacity to prepare them. Learning to Solve Complex Scientific Problems is an immensely useful read offering the insights of cognitive scientists, engineers and science educators who explain methods for helping students solve the complexities of everyday, scientific problems. Important features of this volume include discussions on:*how problems are represented by the problem solvers and how perception, attention, memory, and various forms of reasoning impact the management of information and the search for solutions;*how academics have applied lessons from cognitive science to better prepare students to solve complex scientific problems;*gender issues in science and engineering classrooms; and*questions to guide future problem-solving research. The innovative methods explored in this practical volume will be of significant value to science and engineering educators and researchers, as well as to instructional designers.
Learning to Solve Complex Scientific Problems
by David H. JonassenProblem solving is implicit in the very nature of all science, and virtually all scientists are hired, retained, and rewarded for solving problems. Although the need for skilled problem solvers has never been greater, there is a growing disconnect between the need for problem solvers and the educational capacity to prepare them. Learning to Solve Complex Scientific Problems is an immensely useful read offering the insights of cognitive scientists, engineers and science educators who explain methods for helping students solve the complexities of everyday, scientific problems. Important features of this volume include discussions on:*how problems are represented by the problem solvers and how perception, attention, memory, and various forms of reasoning impact the management of information and the search for solutions;*how academics have applied lessons from cognitive science to better prepare students to solve complex scientific problems;*gender issues in science and engineering classrooms; and*questions to guide future problem-solving research. The innovative methods explored in this practical volume will be of significant value to science and engineering educators and researchers, as well as to instructional designers.
Learning Together Online: Research on Asynchronous Learning Networks
by Starr Roxanne Hiltz Ricki GoldmanThis book is about the past and future of research on the effectiveness of learning networks (also known as "e-learning" or "online learning" or "Web-based learning"). Learning networks are groups of people using computer technology, communicating and collaborating online to build knowledge together. Over the past decade there has been an explosion not only of online courses, but also of studies on them. In Learning Together Online: Research on Asynchronous Learning Networks, leading researchers in the field use an integrated theoretical framework, which they call "Online Interaction Learning Theory," to organize what past research shows and where future research is going. It models the variables and processes that are important in determining the relative effectiveness of online learners working to reach a deeper level of understanding by interacting with each other and with the texts under investigation. Now that there have been hundreds of studies and thousands of courses offered online, what does the empirical evidence show? This book addresses the question directly by presenting what is known from research results about how to design and teach courses effectively online, ranging from the organizational context and characteristics of students to learning theories and research design methods. It also provides a research agenda for the next decade. Learning Together Online: Research on Asynchronous Learning Networks is both a textbook for graduate students and a professional reference for faculty teaching online, researchers conducting studies, and graduate students taking courses about learning technologies who need to know the state of the art of research in the area of online learning.
Learning Together Online: Research on Asynchronous Learning Networks
by Starr Roxanne Hiltz Ricki GoldmanThis book is about the past and future of research on the effectiveness of learning networks (also known as "e-learning" or "online learning" or "Web-based learning"). Learning networks are groups of people using computer technology, communicating and collaborating online to build knowledge together. Over the past decade there has been an explosion not only of online courses, but also of studies on them. In Learning Together Online: Research on Asynchronous Learning Networks, leading researchers in the field use an integrated theoretical framework, which they call "Online Interaction Learning Theory," to organize what past research shows and where future research is going. It models the variables and processes that are important in determining the relative effectiveness of online learners working to reach a deeper level of understanding by interacting with each other and with the texts under investigation. Now that there have been hundreds of studies and thousands of courses offered online, what does the empirical evidence show? This book addresses the question directly by presenting what is known from research results about how to design and teach courses effectively online, ranging from the organizational context and characteristics of students to learning theories and research design methods. It also provides a research agenda for the next decade. Learning Together Online: Research on Asynchronous Learning Networks is both a textbook for graduate students and a professional reference for faculty teaching online, researchers conducting studies, and graduate students taking courses about learning technologies who need to know the state of the art of research in the area of online learning.
Learning TypeScript 2.x Second Edition: Develop And Maintain Captivating Web Applications With Ease
by Remo H. JansenTypeScript is an open source and cross-platform statically typed superset of JavaScript that compiles to plain JavaScript and runs in any browser or host. This book is a step-by-step guide that will take you through the use and benefits of TypeScript with the help of practical examples.
Learning Underscore.js
by Alex PopExplore the Underscore.js library by example using a test-driven development approach About This Book • Understand and learn to apply functional programming principles using the built-in functions of Underscore.js • Leverage and reuse Underscore.js-based code to create code that targets client, server, or database contexts • Take Underscore.js further by reusing code between client and server and by learning about other closely related libraries Who This Book Is For If you are a developer with fundamental JavaScript knowledge and want to use modern JavaScript libraries to extend your functional programming skills, then Underscore.js is an important library you should be familiar with. What You Will Learn • Reference and call Underscore.js functions using a modern JavaScript development workflow • Apply Underscore.js to JavaScript arrays, objects, and functions • Take advantage of object-oriented or functional programming techniques with Underscore.js • Leverage Underscore.js to create code that targets client, server, or database contexts • Extend Underscore.js functionality with other closely related libraries • Reuse Underscore.js-based code between client and server applications • Prepare for the upcoming JavaScript standard ECMAScript 6 and support older browsers In Detail Underscore.js is one of the most popular modern JavaScript libraries used for functional programming. It can be used as a base for building complex JavaScript applications in a sustainable manner and for building other JavaScript libraries. It embraces functional programming principles but is not opinionated and can be used with imperative, object-oriented, functional, or other programming styles. This book explores how to use Underscore.js to power your code and understand modern JavaScript development concepts while applying a lightweight and efficient workflow to build applications. The book starts with an incremental Underscore.js introduction by exploring key JavaScript concepts. You will then explore the basic features of Underscore.js in action and establish a lightweight development workflow that allows the provided examples to be guided by tests. The book then covers the functionality of Underscore.js with in-depth examples and explanations for understanding and applying the Underscore.js API. You'll also learn how to use Underscore.js as a base for your own modules and libraries within an object-oriented or functional programming style, and will be able to explore Underscore.js use cases in different environments. Eventually, you'll learn about libraries that are closely related with Underscore.js, how to share code between client and server, and how to prepare for the upcoming JavaScript standard ECMAScript 6. Style and approach This book takes an example-driven approach to describing some of the essential JavaScript concepts and practices that are useful for building sustainable applications.
Learning Unity 2D Game Development by Example
by Venita PereiraIf you are interested in creating your very own 2D games from scratch, then this book will give you all the tools you need to succeed. Whether you are completely new to Unity or have used Unity before and would like to learn about the new 2D features of Unity, this book is for you.
Learning Unity Android Game Development
by Thomas FinneganIf you are an Android developer who wants to learn how to build games with Unity for the Android platform, then this book is ideal for you. Some prior knowledge of C# and JavaScript would be helpful.
Learning Unity iOS Game Development
by Kyle LangleyBuild exciting games with Unity on iOS and publish them on the App Store About This Book • Take advantage of Unity 5's new tools to create a fully interactive mobile game • Learn how to connect your iTunes developer account and use Unity 5 to communicate with it • Use your Macintosh computer to publish your game to the App Store Who This Book Is For This book is for iOS developers who want to learn how to build games with Unity for the iOS platform. Some prior experience in game development would be useful. What You Will Learn • Create your own iTunes Connect Developer account and create an app within it • Set up iTunes Game Center features in iTunes Connect so you can use them within Unity 5 • Construct a game using C# that allows users to interactively control the game character • Use Unity 5's editor window to create a custom editor tool specific for the game made in the book • Store and keep track of data so the player is able to collect in-game pick-ups that can be used to purchase in-game goods • Use all game features so the player is able to fully navigate menus between the front menu and in the game state • Make, test, and finally release builds so you can play on your device and then submit the game to Apple for review In Detail Over recent years, the market for mobile game development using Unity has grown multi-fold with an overwhelming 600 million gamers playing games developed using Unity engine. The newly launched Unity 5 offers a wide range of dedicated and powerful tools for iOS developers who intend to follow the basics and gradually elevate their skills to revolutionize the way they design and publish games for the App Store. From beginners, to those who are experienced making video games, this book goes through the steps of using Unity 5 to make a game from the ground up and setting the game up with iTunes Game Center features. The book begins with an introduction to setting up an iTunes Connect developer account, this will allow you to use Unity to its full potential with iOS. You will create a new app in iTunes Connect with the settings for Apple approval. You will learn, in detail, how to use Unity 5 and the programming language C# to make a fully interactive game that keeps track of player progress, Game Center Leaderboards, and Achievements, as well as displaying iAds and offering In-App purchases. Moving on, you'll discover how to create development and release builds, enabling you to test the game on your device before finally submitting the game for Apple's approval. By the end of the book, you will have a complete understanding of how iTunes and Unity can be used in combination to build and publish a fully interactive and reliable game to the App Store. Style and approach This is a step-by-step guide that covers the fundamentals of gaming and reveals the secrets of building and monetizing games for the iOS platform.
Learning Unity Physics
by K. Aava RaniIf you are familiar with the fundamentals of Physics and have basic experience of Unity game development, but have no knowledge of using the two together, then this book is for you.
Learning Unreal Engine Android Game Development
by Nitish MisraIf you are a game developer, designer, artist, or a beginner in the gaming industry and want to make Android games with Unreal Engine 4 efficiently, this book is ideal for you.
Learning Unreal® Engine iOS Game Development
by Muhammad A. MoniemIf you are a game developer, designer, artist, or a beginner in the gaming industry, and want to make iOS games efficiently at a low cost, this book is ideal for you.
Learning Vaadin 7
by Nicolas FrankelIn DetailVaadin is a new Java web framework for making applications look great and perform well, making your users happy. Vaadin promises to make your user interfaces attractive and usable while easing your development efforts and boosting your productivity as a developer. Vaadin is a web framework that addresses common issues such as poor choice of controls, heterogeneity of technology stacks, page-flow paradigm, and browser compatibility.This book a practical guide that will help you in creating top-notch web applications with one of the best frameworks based on Java. You will learn about the fundamental concepts that are the cornerstones of the framework. Also, this book will show you how to integrate Vaadin with popular frameworks and how to run it on top of internal as well as externalized infrastructures.Learning Vaadin: Second Edition is a practical, step-by-step tutorial to understanding, using, and mastering the art of RIA development with Vaadin. You will learn about the fundamental concepts that are the cornerstones of the framework, at the same time as making progress on building your own web application. The book will also show you how to integrate Vaadin with other popular frameworks and how to run it on top of internal as well as externalized infrastructures.This book will show you how to become a professional Vaadin developer by giving you a concrete foundation through diagrams, practical examples, and ready-to-use source code. It will enable you to grasp all the notions behind Vaadin one step at a time: components, layouts, events, containers, and bindings. You will learn to build first-class web applications using best-of-breed technologies. You will find detailed information on how to integrate Vaadin's presentation layer on top of other widespread technologies, such as Spring, CDI, and Hibernate. Finally, the book will show you how to deploy on different infrastructures like JBoss Portal and Cloud Foundry.With this book in hand you will be able to utilize the full range of development and deployment features offered by Vaadin while thoroughly understanding the concepts.ApproachThis book begins with a tutorial on Vaadin 7, followed by a process of planning, analyzing, building, and deploying a fully functional RIA while covering troubleshooting details along the way, making it an invaluable resource for answers to all your Vaadin questions.Who this book is forIf you are a Java developer with some experience in development either on JSP/Servlet or on Swing, and want to enter the world of rich Internet applications, then this technology and book is ideal for you. Learning Vaadin will be perfect as your next step towards building eye-catching, dynamic web applications on a Java-based platform.
Learning Vector Illustration with Adobe Illustrator: ...through videos, projects, and more
by Jodi Staniunas HopperWhen you begin using vector illustration software it can be confusing and frustrating to even work out how to make a mark on the page - but this new hybrid approach to learning integrates tutorial videos and step-by-step projects to help you becoming confident in no time. Starting with first principles, this book introduces you to all the important tools and processes – from the basics of Bezier curves to applying meshes – so you can quickly and efficiently create your own designs. As you learn each skill there are projects for you to try out, and by the end of the book you'll build up to a major design project to put all your new abilities into practice.
Learning Vector Illustration with Adobe Illustrator: ...through videos, projects, and more
by Jodi Staniunas HopperWhen you begin using vector illustration software it can be confusing and frustrating to even work out how to make a mark on the page - but this new hybrid approach to learning integrates tutorial videos and step-by-step projects to help you becoming confident in no time. Starting with first principles, this book introduces you to all the important tools and processes – from the basics of Bezier curves to applying meshes – so you can quickly and efficiently create your own designs. As you learn each skill there are projects for you to try out, and by the end of the book you'll build up to a major design project to put all your new abilities into practice.
Learning Veeam® Backup & Replication for VMware vSphere
by Christian MohnThis is an easy-to-follow guide that will help you learn everything you need to know to administer backup, replication, and recovery in your VMware vSphere environment, with Veeam Backup and Replication. This book is aimed at VMware vSphere administrators looking to protect their infrastructure by utilizing the world's leading modern data protection solution, specifically designed for virtual environments. A good understanding of VMware vSphere architecture is recommended, but prior knowledge of Veeam Backup and Replication is not required.
Learning VirtualDub: The Complete Guide To Capturing, Processing, And Encoding Digital Video
by Georgios Diamantopoulos Sohail SalehiThis book is easy to read and fun. The examples and tutorials are short, focused and interesting. You can dip in and get what you want fast. This book is written by VirtualDub enthusiasts for new and intermediate users. It's ideal if you are just starting with video processing and want a powerful and free tool, or if you've already started with VirtualDub and want to take it further.
Learning VMware NSX - Second Edition
by Ranjit Singh ThakurratanExplore the foundational components of VMware NSX About This Book • Install, manage, monitor and configure your NSX deployment. • Understand VMware NSX's components and discover best practices to help you manage VMware NSX • A step by step guide that will help you elevate your skills in deploying NSX to your environment Who This Book Is For The book is intended for network and system administrators that have hands on experience with VMware vSphere suite of products and would like to learn more about software defined networking and implementation of NSX. The readers are also expected to have basic networking knowledge and aware of basic switching and routing fundamentals. What You Will Learn • Understand software-defined networks • Deploy and configure VXLAN-enabled logical switches • Secure your environment using Distributed Firewall and Data Security • Configure third-party services in NSX • Manage, configure, and deploy edge gateway services • Perform various Edge operations including configuring CA certificates • Explore the different monitoring options to check their traffic flow In Detail VMware NSX is a platform for the software-defined data center. It allows complex networking topologies to be deployed programmatically in seconds. SDNs allow ease of deployment, management, and automation in deploying and maintaining new networks while reducing and in some cases completely eliminating the need to deploy traditional networks. The book allows you a thorough understanding of implementing Software defined networks using VMware's NSX. You will come across the best practices for installing and configuring NSX to setup your environment. Then you will get a brief overview of the NSX Core Components NSX's basic architecture. Once you are familiar with everything, you will get to know how to deploy various NSX features. Furthermore, you will understand how to manage and monitor NSX and its associated services and features. In addition to this, you will also explore the best practices for NSX deployments. By the end of the book, you will be able to deploy Vmware NSX in your own environment with ease. This book can come handy if you are preparing for VMware NSX certification. Style and approach This is an easy-to-follow guide with tested configuration steps to get you up and running quickly. This book covers the nitty-gritty of installing, configuring, managing, and monitoring VMware NSX.