- Table View
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Learning Apache Apex
by Thomas WeiseApplications that use and evaluate real-time streams need to take the features of the underlying processing engine into account. This is the first book about Apache Apex, teaching readers how to include the real-time streaming engine Apex in a functioning application, how to design applications around it, and which parts to add to make it performant and usable. It also introduces Malhar, a library providing connectors and functionality to include other messaging and databases.
Learning Apache Cassandra
by Mat BrownIf you're an application developer familiar with SQL databases such as MySQL or Postgres, and you want to explore distributed databases such as Cassandra, this is the perfect guide for you. Even if you've never worked with a distributed database before, Cassandra's intuitive programming interface coupled with the step-by-step examples in this book will have you building highly scalable persistence layers for your applications in no time.
Learning Apache Cassandra, (2nd Edition)
by Sandeep YarabarlaBuild a scalable, fault-tolerant and highly available data layer for your applications using Apache Cassandra About This Book Install Cassandra and set up multi-node clusters Design rich schemas that capture the relationships between different data types Master the advanced features available in Cassandra 3.x through a step-by-step tutorial and build a scalable, high performance database layer Who This Book Is For If you are a NoSQL developer and new to Apache Cassandra who wants to learn its common as well as not-so-common features, this book is for you. Alternatively, a developer wanting to enter the world of NoSQL will find this book useful. It does not assume any prior experience in coding or any framework. What You Will Learn Install Cassandra Create keyspaces and tables with multiple clustering columns to organize related data Use secondary indexes and materialized views to avoid denormalization of data Effortlessly handle concurrent updates with collection columns Ensure data integrity with lightweight transactions and logged batches Understand eventual consistency and use the right consistency level for your situation Understand data distribution with Cassandra Develop simple application using Java driver and implement application-level optimizations In Detail Cassandra is a distributed database that stands out thanks to its robust feature set and intuitive interface, while providing high availability and scalability of a distributed data store. This book will introduce you to the rich feature set offered by Cassandra, and empower you to create and manage a highly scalable, performant and fault-tolerant database layer. The book starts by explaining the new features implemented in Cassandra 3.x and get you set up with Cassandra. Then you'll walk through data modeling in Cassandra and the rich feature set available to design a flexible schema. Next you'll learn to create tables with composite partition keys, collections and user-defined types and get to know different methods to avoid denormalization of data. You will then proceed to create user-defined functions and aggregates in Cassandra. Then, you will set up a multi node cluster and see how the dynamics of Cassandra change with it. Finally, you will implement some application-level optimizations using a Java client. By the end of this book, you'll be fully equipped to build powerful, scalable Cassandra database layers for your applications. Style and approach This book takes a step-by- step approach to give you basic to intermediate knowledge of Apache Cassandra. Every concept is explained in depth, and is supplemented with practical examples when required.
Learning Apache Cassandra, Second Edition
by Sandeep YarabarlaBuild a scalable, fault-tolerant and highly available data layer for your applications using Apache CassandraAbout This BookInstall Cassandra and set up multi-node clustersDesign rich schemas that capture the relationships between different data typesMaster the advanced features available in Cassandra 3.x through a step-by-step tutorial and build a scalable, high performance database layerWho This Book Is ForIf you are a NoSQL developer and new to Apache Cassandra who wants to learn its common as well as not-so-common features, this book is for you. Alternatively, a developer wanting to enter the world of NoSQL will find this book useful.It does not assume any prior experience in coding or any framework.What You Will LearnInstall CassandraCreate keyspaces and tables with multiple clustering columns to organize related dataUse secondary indexes and materialized views to avoid denormalization of dataEffortlessly handle concurrent updates with collection columnsEnsure data integrity with lightweight transactions and logged batchesUnderstand eventual consistency and use the right consistency level for your situationUnderstand data distribution with CassandraDevelop simple application using Java driver and implement application-level optimizationsIn DetailCassandra is a distributed database that stands out thanks to its robust feature set and intuitive interface, while providing high availability and scalability of a distributed data store. This book will introduce you to the rich feature set offered by Cassandra, and empower you to create and manage a highly scalable, performant and fault-tolerant database layer.The book starts by explaining the new features implemented in Cassandra 3.x and get you set up with Cassandra. Then you'll walk through data modeling in Cassandra and the rich feature set available to design a flexible schema. Next you'll learn to create tables with composite partition keys, collections and user-defined types and get to know different methods to avoid denormalization of data. You will then proceed to create user-defined functions and aggregates in Cassandra. Then, you will set up a multi node cluster and see how the dynamics of Cassandra change with it. Finally, you will implement some application-level optimizations using a Java client.By the end of this book, you'll be fully equipped to build powerful, scalable Cassandra database layers for your applications.Style and approachThis book takes a step-by- step approach to give you basic to intermediate knowledge of Apache Cassandra. Every concept is explained in depth, and is supplemented with practical examples when required.
Learning Apache Flink
by Tanmay Deshpande 2 20 2017Discover the definitive guide to crafting lightning-fast data processing for distributed systems with Apache FlinkAbout This BookBuild your expertize in processing real-time data with Apache Flink and its ecosystemGain insights into the working of all components of Apache Flink such as FlinkML, Gelly, and Table API filled with real world use casesExploit Apache Flink's capabilities like distributed data streaming, in-memory processing, pipelining and iteration operators to improve performance.Solve real world big-data problems with real time in-memory and disk-based processing capabilities of Apache Flink.Who This Book Is ForBig data developers who are looking to process batch and real-time data on distributed systems. Basic knowledge of Hadoop and big data is assumed. Reasonable knowledge of Java or Scala is expected.What You Will LearnLearn how to build end to end real time analytics projectsIntegrate with existing big data stack and utilize existing infrastructureBuild predictive analytics applications using FlinkMLUse graph library to perform graph querying and search.Understand Flink's - "Streaming First" architecture to implementing real streaming applicationsLearn Flink Logging and Monitoring best practices in order to efficiently design your data pipelinesExplore the detailed processes to deploy Flink cluster on Amazon Web Services(AWS) and Google Cloud Platform (GCP).In DetailWith the advent of massive computer systems, organizations in different domains generate large amounts of data on a real-time basis. The latest entrant to big data processing, Apache Flink, is designed to process continuous streams of data at a lightning fast pace.This book will be your definitive guide to batch and stream data processing with Apache Flink. The book begins with introducing the Apache Flink ecosystem, setting it up and using the DataSet and DataStream API for processing batch and streaming datasets. Bringing the power of SQL to Flink, this book will then explore the Table API for querying and manipulating data. In the latter half of the book, readers will get to learn the remaining ecosystem of Apache Flink to achieve complex tasks such as event processing, machine learning, and graph processing. The final part of the book would consist of topics such as scaling Flink solutions, performance optimization and integrating Flink with other tools such as ElasticSearch.Whether you want to dive deeper into Apache Flink, or want to investigate how to get more out of this powerful technology, you'll find everything you need inside.Style and approachThis book is a comprehensive guide that covers advanced features of the Apache Flink, and communicates them with a practical understanding of the underlying concepts for how, when, and why to use them.
Learning Apache Kafka - Second Edition
by Nishant GargThis book is for readers who want to know more about Apache Kafka at a hands-on level; the key audience is those with software development experience but no prior exposure to Apache Kafka or similar technologies. It is also useful for enterprise application developers and big data enthusiasts who have worked with other publisher-subscriber-based systems and want to explore Apache Kafka as a futuristic solution.
Learning Apache Mahout
by Chandramani TiwaryIf you are a Java developer and want to use Mahout and machine learning to solve Big Data Analytics use cases then this book is for you. Familiarity with shell scripts is assumed but no prior experience is required.
Learning Apache Spark 2
by Muhammad Asif AbbasiLearn about the fastest-growing open source project in the world, and find out how it revolutionizes big data analytics About This Book • Exclusive guide that covers how to get up and running with fast data processing using Apache Spark • Explore and exploit various possibilities with Apache Spark using real-world use cases in this book • Want to perform efficient data processing at real time? This book will be your one-stop solution. Who This Book Is For This guide appeals to big data engineers, analysts, architects, software engineers, even technical managers who need to perform efficient data processing on Hadoop at real time. Basic familiarity with Java or Scala will be helpful. The assumption is that readers will be from a mixed background, but would be typically people with background in engineering/data science with no prior Spark experience and want to understand how Spark can help them on their analytics journey. What You Will Learn • Get an overview of big data analytics and its importance for organizations and data professionals • Delve into Spark to see how it is different from existing processing platforms • Understand the intricacies of various file formats, and how to process them with Apache Spark. • Realize how to deploy Spark with YARN, MESOS or a Stand-alone cluster manager. • Learn the concepts of Spark SQL, SchemaRDD, Caching and working with Hive and Parquet file formats • Understand the architecture of Spark MLLib while discussing some of the off-the-shelf algorithms that come with Spark. • Introduce yourself to the deployment and usage of SparkR. • Walk through the importance of Graph computation and the graph processing systems available in the market • Check the real world example of Spark by building a recommendation engine with Spark using ALS. • Use a Telco data set, to predict customer churn using Random Forests. In Detail Spark juggernaut keeps on rolling and getting more and more momentum each day. Spark provides key capabilities in the form of Spark SQL, Spark Streaming, Spark ML and Graph X all accessible via Java, Scala, Python and R. Deploying the key capabilities is crucial whether it is on a Standalone framework or as a part of existing Hadoop installation and configuring with Yarn and Mesos. The next part of the journey after installation is using key components, APIs, Clustering, machine learning APIs, data pipelines, parallel programming. It is important to understand why each framework component is key, how widely it is being used, its stability and pertinent use cases. Once we understand the individual components, we will take a couple of real life advanced analytics examples such as ҂uilding a Recommendation system', Ґredicting customer churn' and so on. The objective of these real life examples is to give the reader confidence of using Spark for real-world problems. Style and approach With the help of practical examples and real-world use cases, this guide will take you from scratch to building efficient data applications using Apache Spark. You will learn all about this excellent data processing engine in a step-by-step manner, taking one aspect of it at a time. This highly practical guide will include how to work with data pipelines, dataframes, clustering, SparkSQL, parallel programming, and such insightful topics with the help of real-world use cases.
Learning Apache Thrift
by Krzysztof RakowskiMake applications cross-communicate using Apache Thrift! About This Book • Leverage Apache Thrift to enable applications written in different programming languages (Java, C++, Python, PHP, Ruby, and so on) to cross-communicate. • Learn to make your services ready for real-world applications by using stepwise examples and modifying code from Industry giants. • Be a crackerjack at solving Apache Thrift-related issues. Who This Book Is For If you have some experience of developing applications in one or more languages supported by Apache Thrift (C++, Java, PHP, Python, Ruby, and others) and want to broaden your knowledge and skills in building cross-platform, scalable applications, then this book is for you. What You Will Learn • Understand the need for cross-language services and the basics of Apache Thrift. • Learn how Apache Thrift works and what problems it solves. • Determine when to use Apache Thrift instead of other methods (REST API), and when not to use it. • Create and run an example application using Apache Thrift. • Use Apache Thrift in your applications written in different languages supported by Apache Thrift (PHP, Python, Ruby, Java, and C++). • Handle exceptions and deal with errors. • Modify code in different languages. • Use Apache Thrift in the production environments of big applications. In Detail With modern software systems being increasingly complex, providing a scalable communication architecture for applications in different languages is tedious. The Apache Thrift framework is the solution to this problem! It helps build efficient and easy-to-maintain services and offers a plethora of options matching your application type by supporting several popular programming languages, including C++, Java, Python, PHP, Ruby, Erlang, Perl, Haskell, C#, Cocoa, JavaScript, Node.js, Smalltalk, OCaml, and Delphi. This book will help you set aside the basics of service-oriented systems through your first Apache Thrift-powered app. Then, progressing to more complex examples, it will provide you with tips for running large-scale applications in production environments. You will learn how to assess when Apache Thrift is the best tool to be used. To start with, you will run a simple example application, learning the framework's structure along the way; you will quickly advance to more complex systems that will help you solve various real-life problems. Moreover, you will be able to add a communication layer to every application written in one of the popular programming languages, with support for various data types and error handling. Further, you will learn how pre-eminent companies use Apache Thrift in their popular applications. This book is a great starting point if you want to use one of the best tools available to develop cross-language applications in service-oriented architectures. Style and approach A stepwise guide to learning Apache Thrift, with ready-to-run examples explained comprehensively. Advanced topics supply the inspiration for further work.
Learning Apex Programming
by Matt Kaufman Michael WicherskiIf you are a developer who has some object-oriented programming experience, Learning Apex Programming is the perfect book for you. This book is most appropriate for developers who wish to gain an understanding of the Force.com platform and how to use Apex to create business applications.
Learning Approaches in Signal Processing (Pan Stanford Series on Digital Signal Processing)
by Liang Wang Wan-Chi Siu Lap-Pui Chau Tieniu TangCoupled with machine learning, the use of signal processing techniques for big data analysis, Internet of things, smart cities, security, and bio-informatics applications has witnessed explosive growth. This has been made possible via fast algorithms on data, speech, image, and video processing with advanced GPU technology. This book presents an up-to-date tutorial and overview on learning technologies such as random forests, sparsity, and low-rank matrix estimation and cutting-edge visual/signal processing techniques, including face recognition, Kalman filtering, and multirate DSP. It discusses the applications that make use of deep learning, convolutional neural networks, random forests, etc. The applications include super-resolution imaging, fringe projection profilometry, human activities detection/capture, gesture recognition, spoken language processing, cooperative networks, bioinformatics, DNA, and healthcare.
Learning Approaches in Signal Processing (Pan Stanford Series on Digital Signal Processing)
by Liang Wang Wan-Chi Siu Lap-Pui Chau Tieniu TangCoupled with machine learning, the use of signal processing techniques for big data analysis, Internet of things, smart cities, security, and bio-informatics applications has witnessed explosive growth. This has been made possible via fast algorithms on data, speech, image, and video processing with advanced GPU technology. This book presents an up-to-date tutorial and overview on learning technologies such as random forests, sparsity, and low-rank matrix estimation and cutting-edge visual/signal processing techniques, including face recognition, Kalman filtering, and multirate DSP. It discusses the applications that make use of deep learning, convolutional neural networks, random forests, etc. The applications include super-resolution imaging, fringe projection profilometry, human activities detection/capture, gesture recognition, spoken language processing, cooperative networks, bioinformatics, DNA, and healthcare.
Learning ArcGIS Geodatabases
by Hussein NasserThis is a solution-based book, showcasing the real power of ArcGIS Geodatabase by following a real-world, example-based approach. This book is aimed at geospatial developers who want to work with ArcGIS geodatabases as well as manage them. Having knowledge of building a geodatabase from scratch isn't a must; Learning ArcGIS Geodatabases is ideal for those who want to use ArcGIS geodatabase for the first time, or for those who want to migrate from their existing legacy database to a geodatabase.
Learning ArcGIS Pro
by Tripp Corbin GispCreate, analyze, maintain, and share 2D and 3D maps with the powerful tools of ArcGIS Pro About This Book • Visualize GIS data in 2D and 3D maps • Create GIS projects for quick and easy access to data, maps, and analysis tools • A practical guide that helps to import maps, globes, and scenes from ArcMap, ArcScene, or ArcGlobe Who This Book Is For This book is for anyone wishing to learn how ArcGIS Pro can be used to create maps and perform geospatial analysis. It will be especially helpful for those that have used ArcMap and ArcCatalog in the past and are looking to migrate to Esri's newest desktop GIS solution. Though previous GIS experience is not required, you must have a solid foundation using Microsoft Windows. It is also helpful if you understand how to manage folders and files within the Microsoft Windows environment. What You Will Learn • Install ArcGIS Pro and assign Licenses to users in your organization • Navigate and use the ArcGIS Pro ribbon interface to create maps and perform analysis • Create and manage ArcGIS Pro GIS Projects • Create 2D and 3D maps to visualize and analyze data • Author map layouts using cartographic tools and best practices to show off the results of your analysis and maps • Import existing map documents, scenes, and globes into your new ArcGIS Pro projects quickly • Create standardized workflows using Tasks • Automate analysis and processes using ModelBuilder and Python In Detail ArcGIS Pro is Esri's newest desktop GIS application with powerful tools for visualizing, maintaining, and analyzing data. ArcGIS Pro makes use of the modern ribbon interface and 64-bit processing to increase the speed and efficiency of using GIS. It allows users to create amazing maps in both 2D and 3D quickly and easily. This book will take you from software installation to performing geospatial analysis. It is packed with how-to's for a host of commonly-performed tasks. You will start by learning how to download and install the software including hardware limitations and recommendations. Then you are exposed to the new Ribbon interface and how its smart design can make finding tools easier. After you are exposed to the new interface, you are walked through the steps to create a new GIS Project to provide quick access to project resources. With a project created, you will learn how to construct 2D and 3D maps including how to add layers, adjust symbology, and control labeling. Next you will learn how to access and use analysis tools to help you answer real-world questions. Lastly, you will learn how processes can be automated and standardized in ArcGIS Pro using Tasks, Models, and Python Scripts. This book will provide an invaluable resource for all those seeking to use ArcGIS Pro as their primary GIS application or for those looking to migrate from ArcMap and ArcCatalog. Style and approach This book includes detailed explanations of the GIS functionality and workflows in ArcGIS Pro. These are supported by easy-to-follow exercises that will help you gain an understanding of how to use ArcGIS Pro to perform a range of tasks.
Learning ArcGIS Pro 2: A beginner's guide to creating 2D and 3D maps and editing geospatial data with ArcGIS Pro
by Tripp CorbinCreate 2D maps and 3D scenes, analyze GIS data, and share your results with the GIS community using the latest ArcGIS Pro 2 features Key Features Get up to speed with the new ribbon-based user interface, projects, models, and common workflows in ArcGIS Pro 2 Learn how to visualize, maintain, and analyze GIS data Automate analysis and processes with ModelBuilder and Python scripts Book Description Armed with powerful tools to visualize, maintain, and analyze data, ArcGIS Pro 2 is Esri's newest desktop geographic information system (GIS) application that uses the modern ribbon interface and a 64-bit processor to make using GIS faster and more efficient. This second edition of Learning ArcGIS Pro will show you how you can use this powerful desktop GIS application to create maps, perform spatial analysis, and maintain data. The book begins by showing you how to install ArcGIS and listing the software and hardware prerequisites. You'll then understand the concept of named user licensing and learn how to navigate the new ribbon interface to leverage the power of ArcGIS Pro for managing geospatial data. Once you've got to grips with the new interface, you'll build your first GIS project and understand how to use the different project resources available. The book shows you how to create 2D and 3D maps by adding layers and setting and managing the symbology and labeling. You'll also discover how to use the analysis tool to visualize geospatial data. In later chapters, you'll be introduced to Arcade, the new lightweight expression language for ArcGIS, and then advance to creating complex labels using Arcade expressions. Finally, you'll use Python scripts to automate and standardize tasks and models in ArcGIS Pro. By the end of this ArcGIS Pro book, you'll have developed the core skills needed for using ArcGIS Pro 2.x competently. What you will learn Navigate the user interface to create maps, perform analysis, and manage data Display data based on discrete attribute values or range of values Label features on a GIS map based on one or more attributes using Arcade Create map books using the map series functionality Share ArcGIS Pro maps, projects, and data with other GIS community members Explore the most used geoprocessing tools for performing spatial analysis Create Tasks based on common workflows to standardize processes Automate processes using ModelBuilder and Python scripts Who this book is for If you want to learn ArcGIS Pro to create maps and, edit and analyze geospatial data, this ArcGIS book is for you. No knowledge of GIS fundamentals or experience with any GIS tool or ArcGIS software suite is required. Basic Windows skills, such as navigating and file management, are all you need.
Learning Articulate Storyline
by Stephanie HarnettThis book provides one-on-one tutoring to help you quickly get up to speed with the basics while also learning how to best apply Storyline features in the context of the work you do.If you're an e-learning developer, writer, designer, subject matter expert, or all or any one of these, this book is for you. This book is not just for novices, but also for seasoned developers, transitioning from PowerPoint and Articulate Studio '09, and for those who are already working with Storyline.
Learning at the Crossroads of Theory and Practice: Research on Innovative Learning Practices (Advances in Business Education and Training #4)
by Piet Van den Bossche, Wim H. Gijselaers and Richard G. MilterCore concepts in education are changing. For example, professional performance or expertise is not uniquely the fruit of specialist knowledge acquired at professional schools, but the sum of influences exerted by a complex web of continuous learning opportunities for which an individual is well (or ill) prepared by their schools and their workplace. The key contributory factors to professional expertise are how professional schools connect to professional practice, how schools prepare graduates for continuous learning, and how the workplace endorses continuous development. Thus, the question this volume addresses—how to design learning and working environments that facilitate the integration of these three elements—is at the heart of contemporary pedagogical theory. The authors also ask a second vital question: how do we educate learners that go on to maximize their life’s learning opportunities by regulating their own ongoing learning? Learning at the Crossroads of Theory and Practice argues that with the theory of learning at a crossroads, this is an unprecedented opportunity for learning about learning. The book sheds light on different elements of this challenge: integrating theory and practice in business education, generating and fully exploiting workplace learning opportunities, and enriching our classrooms by coupling theoretical knowledge with the richness of real-life experience.
Learning Automata and Their Applications to Intelligent Systems
by JunQi Zhang MengChu ZhouComprehensive guide on learning automata, introducing two variants to accelerate convergence and computational update speed Learning Automata and Their Applications to Intelligent Systems provides a comprehensive guide on learning automata from the perspective of principles, algorithms, improvement directions, and applications. The text introduces two variants to accelerate the convergence speed and computational update speed, respectively; these two examples demonstrate how to design new learning automata for a specific field from the aspect of algorithm design to give full play to the advantage of learning automata. As noisy optimization problems exist widely in various intelligent systems, this book elaborates on how to employ learning automata to solve noisy optimization problems from the perspective of algorithm design and application. The existing and most representative applications of learning automata include classification, clustering, game, knapsack, network, optimization, ranking, and scheduling. They are well-discussed. Future research directions to promote an intelligent system are suggested. Written by two highly qualified academics with significant experience in the field, Learning Automata and Their Applications to Intelligent Systems covers such topics as: Mathematical analysis of the behavior of learning automata, along with suitable learning algorithms Two application-oriented learning automata: one to discover and track spatiotemporal event patterns, and the other to solve stochastic searching on a line Demonstrations of two pioneering variants of Optimal Computing Budge Allocation (OCBA) methods and how to combine learning automata with ordinal optimization How to achieve significantly faster convergence and higher accuracy than classical pursuit schemes via lower computational complexity of updating the state probabilityA timely text in a rapidly developing field, Learning Automata and Their Applications to Intelligent Systems is an essential resource for researchers in machine learning, engineering, operation, and management. The book is also highly suitable for graduate level courses on machine learning, soft computing, reinforcement learning and stochastic optimization.
Learning Automata and Their Applications to Intelligent Systems
by JunQi Zhang MengChu ZhouComprehensive guide on learning automata, introducing two variants to accelerate convergence and computational update speed Learning Automata and Their Applications to Intelligent Systems provides a comprehensive guide on learning automata from the perspective of principles, algorithms, improvement directions, and applications. The text introduces two variants to accelerate the convergence speed and computational update speed, respectively; these two examples demonstrate how to design new learning automata for a specific field from the aspect of algorithm design to give full play to the advantage of learning automata. As noisy optimization problems exist widely in various intelligent systems, this book elaborates on how to employ learning automata to solve noisy optimization problems from the perspective of algorithm design and application. The existing and most representative applications of learning automata include classification, clustering, game, knapsack, network, optimization, ranking, and scheduling. They are well-discussed. Future research directions to promote an intelligent system are suggested. Written by two highly qualified academics with significant experience in the field, Learning Automata and Their Applications to Intelligent Systems covers such topics as: Mathematical analysis of the behavior of learning automata, along with suitable learning algorithms Two application-oriented learning automata: one to discover and track spatiotemporal event patterns, and the other to solve stochastic searching on a line Demonstrations of two pioneering variants of Optimal Computing Budge Allocation (OCBA) methods and how to combine learning automata with ordinal optimization How to achieve significantly faster convergence and higher accuracy than classical pursuit schemes via lower computational complexity of updating the state probabilityA timely text in a rapidly developing field, Learning Automata and Their Applications to Intelligent Systems is an essential resource for researchers in machine learning, engineering, operation, and management. The book is also highly suitable for graduate level courses on machine learning, soft computing, reinforcement learning and stochastic optimization.
Learning Automata Approach for Social Networks (Studies in Computational Intelligence #820)
by Alireza Rezvanian Behnaz Moradabadi Mina Ghavipour Mohammad Mehdi Daliri Khomami Mohammad Reza MeybodiThis book begins by briefly explaining learning automata (LA) models and a recently developed cellular learning automaton (CLA) named wavefront CLA. Analyzing social networks is increasingly important, so as to identify behavioral patterns in interactions among individuals and in the networks’ evolution, and to develop the algorithms required for meaningful analysis. As an emerging artificial intelligence research area, learning automata (LA) has already had a significant impact in many areas of social networks. Here, the research areas related to learning and social networks are addressed from bibliometric and network analysis perspectives. In turn, the second part of the book highlights a range of LA-based applications addressing social network problems, from network sampling, community detection, link prediction, and trust management, to recommender systems and finally influence maximization. Given its scope, the book offers a valuable guide for all researchers whose work involves reinforcement learning, social networks and/or artificial intelligence.
Learning AWK Programming: A Fast, And Simple Cutting-edge Utility For Text-processing On The Unix-like Environment
by Shiwang KalkhandaAWK is one of the powerful utility which exists in all Unix and Unix-like distributions.
Learning AWS
by Aurobindo Sarkar Amit ShahThis book is targeted at expert programmers and architects wanting to learn AWS. Some familiarity with Spring, MySQL, and RESTful web services is assumed.
Learning AWS IoT: Effectively Manage Connected Devices On The Aws Cloud Using Services Such As Aws Greengrass, Aws Button, Predictive Analytics And Machine Learning
by Agus KurniawanThe Internet of Things market increased a lot in the past few years and IoT development and its adoption have showed an upward trend. Analysis and predictions say that Enterprise IoT platforms are the future of IoT. This book will help you get up-and-running with the AWS IoT Suite, which will be helpful in building IoT Projects.
Learning AWS, Second Edition: Design, Build, And Deploy Responsive Applications Using Aws Cloud Components
by Aurobindo SarkarAWS is currently the market leader in the public cloud market.With the increasing global interest in leveraging cloud infrastructure, AWS Cloud from Amazon offers a cutting-edge platform for architecting, building, and deploying web-scale cloud applications. This book will help you in performing these tasks easily.
Learning Axure RP Interactive Prototypes
by John Henry KrahenbuhlIf you are a user experience professional, designer, information architect, or business analyst who wants to gain interactive prototyping skills with Axure, then this book is ideal for you. Some familiarity with Axure is preferred but not essential.