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  • Safari, an O'Reilly Media Company.  (8)
  • [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc.  (5)
  • [Erscheinungsort nicht ermittelbar] : Packt Publishing  (3)
  • Electronic books  (8)
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  • 1
    Online-Ressource
    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (622 pages)
    Ausgabe: 2nd edition
    Schlagwort(e): Electronic books ; local ; Electronic books
    Kurzfassung: The Rust programming language offers the rare and valuable combination of statically verified memory safety and low-level control. Imagine C++ but without dangling pointers, null pointer dereferences, leaks, or buffer overruns. With this practical guide, systems programmers will understand Rust's rules clearly and economically. You'll learn how to express programs that Rust can prove are free of a broad class of common errors. Rust brings the benefits of an expressive modern type system to systems programming. Authors Jim Blandy and Jason Orendorff demonstrate how Rust's features put programmers in control over memory consumption and processor use, combining predictable performance with memory safety and trustworthy concurrency. You'll learn: How to write fast, safe, concurrent programs in Rust Rust's rules for managing memory efficiently, including ownership, borrowing, moves, and lifetimes How to design interfaces that fit well into the Rust ecosystem Rust's all-purpose Cargo tool for building, testing, and managing Rust packages High-level features like traits, generics, closures, and iterators that make Rust productive and flexible
    Anmerkung: Online resource; Title from title page (viewed May 25, 2021) , Mode of access: World Wide Web.
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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  • 2
    Online-Ressource
    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (222 pages)
    Ausgabe: 2nd edition
    Schlagwort(e): Electronic books ; local ; Electronic books
    Kurzfassung: Hit the ground running with React, the open-source technology from Facebook for building rich web applications fast. With the second edition of this practical guide, Stoyan Stefanov-designer of the YSlow 2.0 performance tool-shows you how to build React components and organize them into maintainable, large-scale apps. If you're familiar with basic JavaScript syntax, you're ready to get started. Through the course of the book, web developers and programmers will build a complete custom app that lets you store data on the client. You'll quickly learn why some developers consider React the key to the web app development puzzle.
    Anmerkung: Online resource; Title from title page (viewed July 25, 2021) , Mode of access: World Wide Web.
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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  • 3
    Online-Ressource
    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (76 pages)
    Ausgabe: 2nd edition
    Schlagwort(e): Electronic books ; local ; Electronic books
    Kurzfassung: Every enterprise application creates data, whether it consists of log messages, metrics, user activity, outgoing messages, or something else. Moving all of this data is just as important as the data itself. This book's updated second edition shows application architects, developers, and production engineers new to the Kafka open source streaming platform how to handle real-time data feeds. Additional chapters cover Kafka's AdminClient API, new security features, and tooling changes. Engineers from Confluent and LinkedIn responsible for developing Kafka explain how to deploy production Kafka clusters, write reliable event-driven microservices, and build scalable stream processing applications with this platform. Through detailed examples, you'll learn Kafka's design principles, reliability guarantees, key APIs, and architecture details, including the replication protocol, the controller, and the storage layer. You'll examine: How publish-subscribe messaging fits in the big data ecosystem Kafka producers and consumers for writing and reading messages Patterns and use-case requirements to ensure reliable data delivery Best practices for building data pipelines and applications with Kafka How to perform monitoring, tuning, and maintenance tasks with Kafka in production The most critical metrics among Kafka's operational measurements Kafka's delivery capabilities for stream processing systems
    Anmerkung: Online resource; Title from title page (viewed October 25, 2021) , Mode of access: World Wide Web.
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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  • 4
    Online-Ressource
    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Sprache: Englisch
    Seiten: 1 online resource (92 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local ; Electronic books
    Kurzfassung: Reinforcement learning (RL) will deliver one of the biggest breakthroughs in AI over the next decade, enabling algorithms to learn from their environment to achieve arbitrary goals. This exciting development avoids constraints found in traditional machine learning (ML) algorithms. This practical book shows data science and AI professionals how to perform the reinforcement process that allows a machine to learn by itself. Author Dr. Phil Winder of Winder Research covers everything from basic building blocks to state-of-the-art practices. You'll explore the current state of RL, focusing on industrial applications, and learn numerous algorithms, frameworks, and environments. This is no cookbook-it doesn't shy away from math and expects familiarity with ML. Learn what RL is and how the algorithms help solve problems Become grounded in RL fundamentals including Markov decision processes, dynamic programming, and temporal difference learning Dive deep into value methods and policy gradient methods Apply advanced RL implementations such as meta learning, hierarchical learning, evolutionary algorithms, and imitation learning Understand cutting-edge deep RL algorithms including Rainbow, PPO, TD3, SAC, and more Get practical examples through the accompanying Git repository
    Anmerkung: Online resource; Title from title page (viewed March 25, 2021) , Mode of access: World Wide Web.
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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  • 5
    Online-Ressource
    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781839213984
    Sprache: Englisch
    Seiten: 1 online resource (324 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local ; Electronic books
    Kurzfassung: A complete guide on Teams filled with real-world scenarios and best practices to increase enterprise productivity and engagement Key Features Interactive approach to learn the key concepts of Teams and its implementation in modern workplace Discover tips and techniques for extending Teams to meet your business requirements Integrate Teams with various Microsoft services such as PowerShell, SharePoint, PowerApps, and Power Automate Book Description Microsoft Teams is a platform for unified communication in modern workplaces. It not only enables effective communication, but also helps you manage your resources through its integration with various Microsoft Office 365 services. This book offers a comprehensive introduction to the platform, getting you up to speed in no time. Complete with hands-on tutorials, and projects, this easy-to-follow guide will teach you how to use Teams in the best possible way. Starting with the basic concepts that will help you collaborate on Teams, this book takes you through expert techniques for creating and managing teams. A dedicated section also features industry practices to help enhance collaboration in modern workplaces. In later chapters, you'll explore Microsoft services such as SharePoint, PowerApps, Power Automate, and learn how they interact with Microsoft Teams. You'll also get to grips with dealing with permissions and security issues in managing private and public teams and channels. Along the way, you'll discover practical scenarios that will help you improve the collaboration in your organization and increase productivity by using Teams features. By the end of this book, you'll have hands-on experience of using Microsoft Teams, along with the skills you need to improve the way people collaborate in your organization. What you will learn Create teams, channels, and tabs in Microsoft Teams Explore the Teams architecture and various Office 365 components included in Teams Perform scheduling, and managing meetings and live events in Teams Configure and manage apps in Teams Design automated scripts for managing a Teams environment using PowerShell Build your own Microsoft Teams app without writing code Who this book is for This Microsoft Teams book is for power users and business professionals looking to use Teams for improving collaboration in an enterprise environment. The book will also be useful for Office 365 administrators interested in implementing Microsoft Teams effectively by learning about and ...
    Anmerkung: Online resource; Title from title page (viewed April 30, 2020) , Mode of access: World Wide Web.
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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  • 6
    Online-Ressource
    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781838826581
    Sprache: Englisch
    Seiten: 1 online resource (410 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local ; Electronic books
    Kurzfassung: A comprehensive introduction to help you get up and running with creating interactive dashboards to visualize and monitor time-series data in no time Key Features Install, set up, and configure Grafana for real-time data analysis and visualization Visualize and monitor data using data sources such as InfluxDB, Prometheus, and Elasticsearch Explore Grafana's multi-cloud support with Microsoft Azure, Amazon CloudWatch, and Google Stackdriver Book Description Grafana is an open-source analytical platform used to analyze and monitoring time-series data. This beginner's guide will help you get to grips with Grafana's new features for querying, visualizing, and exploring metrics and logs no matter where they are stored. The book begins by showing you how to install and set up the Grafana server. You'll explore the working mechanism of various components of the Grafana interface along with its security features, and learn how to visualize and monitor data using, InfluxDB, Prometheus, Logstash, and Elasticsearch. This Grafana book covers the advanced features of the Graph panel and shows you how Stat, Table, Bar Gauge, and Text are used. You'll build dynamic dashboards to perform end-to-end analytics and label and organize dashboards into folders to make them easier to find. As you progress, the book delves into the administrative aspects of Grafana by creating alerts, setting permissions for teams, and implementing user authentication. Along with exploring Grafana's multi-cloud monitoring support, you'll also learn about Grafana Loki, which is a backend logger for users running Prometheus and Kubernetes. By the end of this book, you'll have gained all the knowledge you need to start building interactive dashboards. What you will learn Find out how to visualize data using Grafana Understand how to work with the major components of the Graph panel Explore mixed data sources, query inspector, and time interval settings Discover advanced dashboard features such as annotations, templating with variables, dashboard linking, and dashboard sharing techniques Connect user authentication to Google, GitHub, and a variety of external services Find out how Grafana can provide monitoring support for cloud service infrastructures Who this book is for This book is for business intelligence developers, business analysts, data analysts, and anyone interested in performing time-series data analysis and monitoring using Grafana. Those looking to create and share interac...
    Anmerkung: Online resource; Title from title page (viewed June 25, 2020) , Mode of access: World Wide Web.
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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  • 7
    Online-Ressource
    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc.
    Sprache: Englisch
    Seiten: 1 online resource (250 pages)
    Ausgabe: 1st edition.
    Schlagwort(e): Electronic books
    Kurzfassung: Despite many uncertainties in cloud computing, one truth is evident: costs will always tend to go up unless you're actively engaged in the process. Whether you're new to managing cloud spend or a seasoned pro, this book will clarify the often misunderstood workings of cloud billing fundamentals and provide expert strategies on creating a culture of cloud cost management in your organization. Drawing on real-world examples of successes and failures of large-scale cloud spenders, this book outlines a road map for building a culture of FinOps in your organization. Beginning with the fundamental concepts required to understand cloud billing concepts, you'll learn how to enable an efficient and effective FinOps machine. Learn how the cloud works when it comes to financial management Set up a FinOps team and build a framework for making spend efficiency a priority Examine the anatomy of a cloud bill and learn how to manage it Get operational recipes for maximizing cloud efficiency Understand how to motivate engineering teams to take cost-saving actions Explore the FinOps lifecycle: Inform, Optimize, and Operate Learn the DNA of a highly functional cloud FinOps culture.
    Anmerkung: Online resource; Title from title page (viewed December 19, 2019)
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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  • 8
    Online-Ressource
    Online-Ressource
    [Erscheinungsort nicht ermittelbar] : Packt Publishing | Boston, MA : Safari
    ISBN: 9781788830645
    Sprache: Englisch
    Seiten: 1 online resource (372 pages)
    Ausgabe: 1st edition
    Schlagwort(e): Electronic books ; local ; Electronic books
    Kurzfassung: A practical guide to building high performance systems for object detection, segmentation, video processing, smartphone applications, and more Key Features Discover how to build, train, and serve your own deep neural networks with TensorFlow 2 and Keras Apply modern solutions to a wide range of applications such as object detection and video analysis Learn how to run your models on mobile devices and web pages and improve their performance Book Description Computer vision solutions are becoming increasingly common, making their way into fields such as health, automobile, social media, and robotics. This book will help you explore TensorFlow 2, the brand new version of Google's open source framework for machine learning. You will understand how to benefit from using convolutional neural networks (CNNs) for visual tasks. Hands-On Computer Vision with TensorFlow 2 starts with the fundamentals of computer vision and deep learning, teaching you how to build a neural network from scratch. You will discover the features that have made TensorFlow the most widely used AI library, along with its intuitive Keras interface. You'll then move on to building, training, and deploying CNNs efficiently. Complete with concrete code examples, the book demonstrates how to classify images with modern solutions, such as Inception and ResNet, and extract specific content using You Only Look Once (YOLO), Mask R-CNN, and U-Net. You will also build generative adversarial networks (GANs) and variational autoencoders (VAEs) to create and edit images, and long short-term memory networks (LSTMs) to analyze videos. In the process, you will acquire advanced insights into transfer learning, data augmentation, domain adaptation, and mobile and web deployment, among other key concepts. By the end of the book, you will have both the theoretical understanding and practical skills to solve advanced computer vision problems with TensorFlow 2.0. What you will learn Create your own neural networks from scratch Classify images with modern architectures including Inception and ResNet Detect and segment objects in images with YOLO, Mask R-CNN, and U-Net Tackle problems faced when developing self-driving cars and facial emotion recognition systems Boost your application's performance with transfer learning, GANs, and domain adaptation Use recurrent neural networks (RNNs) for video analysis Optimize and deploy your networks on mobile devices and in the browser Who this book is for If you'r...
    Anmerkung: Online resource; Title from title page (viewed May 30, 2019) , Mode of access: World Wide Web.
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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