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  • Vohra, Deepak  (3)
  • Biswas, Manisha  (2)
  • [Place of publication not identified] : Apress  (5)
  • Electronic books ; local  (5)
  • Amazon Web Services (Firm)  (1)
  • 1
    Online Resource
    Online Resource
    Beginning AI bot frameworks : getting started with bot development (2018)
    [Place of publication not identified] : Apress
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Artificial intelligence ; Application software ; Development ; Machine learning ; Natural language processing (Computer science) ; Electronic books ; Electronic books ; local
    Abstract: Want to build your first AI bot but don't know where to start? This book provides a comprehensive look at all the major bot frameworks available. You'll learn the basics for each framework in one place and get a clear picture for which one is best for your needs. Beginning AI Bot Frameworks starts with an overview of bot development and then looks at Google Wit.ai and APi.ai functions, IBM Watson, AWS bots with Lambda, FlockOS and TensorFlow. Additionally, it touches on Deep Learning and how bot frameworks can be extended to mixed reality with Hololens. By the end, you'll have mastered the different bot frameworks available and finally have the confidence to develop intelligent AI Chatbots of their own. What You'll Learn Review key structural points for building bots Understand the basic requirements for building a bot in each framework Integrate some of the frameworks Compare the features of each framework Who This Book Is For Computer Science students, engineers, developers and technology enthusiasts with some background in C#, node.js, and cloud platforms.
    Note: Description based on online resource; title from cover (Safari, viewed October 23, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781484237540/?ar
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    Online Resource
    MPI Ethno. Forsch.
  • 2
    Online Resource
    Online Resource
    Neural networks in Unity : C# programming for Windows 10 (2018)
    [Place of publication not identified] : Apress
    Details
    ISBN: 9781484236734
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Unity (Electronic resource) ; Neural networks (Computer science) ; Computer programs ; C# (Computer program language) ; Electronic books ; local ; Electronic books
    Abstract: Learn the core concepts of neural networks and discover the different types of neural network, using Unity as your platform. In this book you will start by exploring back propagation and unsupervised neural networks with Unity and C#. You'll then move onto activation functions, such as sigmoid functions, step functions, and so on. The author also explains all the variations of neural networks such as feed forward, recurrent, and radial. Once you've gained the basics, you'll start programming Unity with C#. In this section the author discusses constructing neural networks for unsupervised learning, representing a neural network in terms of data structures in C#, and replicating a neural network in Unity as a simulation. Finally, you'll define back propagation with Unity C#, before compiling your project. What You'll Learn Discover the concepts behind neural networks Work with Unity and C# See the difference between fully connected and convolutional neural networks Master neural network processing for Windows 10 UWP Who This Book Is For Gaming professionals, machine learning and deep learning enthusiasts.
    Note: Description based on online resource; title from cover (Safari, viewed August 9, 2018)
    URL: lizenzpflichtig
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    Online Resource
    MPI Ethno. Forsch.
  • 3
    Online Resource
    Online Resource
    Docker management design patterns : swarm mode on Amazon Web Services (2017)
    [Place of publication not identified] : Apress
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Amazon Web Services (Firm) ; Cloud computing ; Virtual computer systems ; Application software ; Development ; Software patterns ; Electronic books ; Electronic books ; local
    Abstract: Master every aspect of orchestrating/managing Docker including creating a Swarm, creating services, using mounts, scheduling, scaling, resource management, rolling updates, load balancing, high availability, logging and monitoring, using multiple zones, and networking. This book also discusses the managed services for Docker Swarm: Docker for AWS and Docker Cloud Swarm mode. Docker Management Design Patterns explains how to use Docker Swarm mode with Docker Engine to create a distributed Docker container cluster and how to scale a cluster of containers, schedule containers on specific nodes, and mount a volume. This book is based on the latest version of Docker (17.0x). You will learn to provision a Swarm on production-ready AWS EC2 nodes, and to link Docker Cloud to Docker for AWS to provision a new Swarm or connect to an existing Swarm. Finally, you will learn to deploy a Docker Stack on Docker Swarm with Docker Compose. What You'll Learn Apply Docker management design patterns Use Docker Swarm mode and other new features Create and scale a Docker service Use mounts including volumes Configure scheduling, load balancing, high availability, logging and monitoring, rolling updates, resource management, and networking Use Docker for AWS managed services including a multi-zone Swarm Build Docker Cloud managed services in Swarm mode Who This Book Is For Docker admins, Docker application developers, and container as a service (CAAS) developers. Some prerequisite knowledge of Linux and Docker is required. Apress Pro Docker is recommended as a companion to this book.
    Note: Description based on online resource; title from cover (Safari, viewed November 28, 2018)
    URL: https://learning.oreilly.com/library/view/-/9781484229736/?ar
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  • 4
    Online Resource
    Online Resource
    Practical Hadoop ecosystem : a definitive guide to Hadoop-related frameworks and tools (2016)
    [Place of publication not identified] : Apress
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Apache Hadoop ; Database management ; Electronic books ; Electronic books ; local
    Abstract: Learn how to use the Apache Hadoop projects, including MapReduce, HDFS, Apache Hive, Apache HBase, Apache Kafka, Apache Mahout, and Apache Solr. From setting up the environment to running sample applications each chapter in this book is a practical tutorial on using an Apache Hadoop ecosystem project. While several books on Apache Hadoop are available, most are based on the main projects, MapReduce and HDFS, and none discusses the other Apache Hadoop ecosystem projects and how they all work together as a cohesive big data development platform. What You Will Learn: Set up the environment in Linux for Hadoop projects using Cloudera Hadoop Distribution CDH 5 Run a MapReduce job Store data with Apache Hive, and Apache HBase Index data in HDFS with Apache Solr Develop a Kafka messaging system Stream Logs to HDFS with Apache Flume Transfer data from MySQL database to Hive, HDFS, and HBase with Sqoop Create a Hive table over Apache Solr Develop a Mahout User Recommender System Who This Book Is For: Apache Hadoop developers. Pre-requisite knowledge of Linux and some knowledge of Hadoop is required.
    Note: Description based on online resource; title from cover (Safari, viewed November 22, 2016)
    URL: https://learning.oreilly.com/library/view/-/9781484221990/?ar
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  • 5
    Online Resource
    Online Resource
    Apache HBase primer (2016)
    [Place of publication not identified] : Apress
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Apache Hadoop ; Databases ; Open source software ; Electronic books ; Electronic books ; local
    Abstract: Learn the fundamental foundations and concepts of the Apache HBase (NoSQL) open source database. It covers the HBase data model, architecture, schema design, API, and administration. Apache HBase is the database for the Apache Hadoop framework. HBase is a column family based NoSQL database that provides a flexible schema model. What You'll Learn Work with the core concepts of HBase Discover the HBase data model, schema design, and architecture Use the HBase API and administration Who This Book Is For Apache HBase (NoSQL) database users, designers, developers, and admins.
    Note: Description based on online resource; title from cover (Safari, viewed February 1, 2017)
    URL: https://learning.oreilly.com/library/view/-/9781484224243/?ar
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