gitforgits nov 2024 (8 risultati)

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 160 pp. Englisch.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Practical C++ Machine Learning introduces C++ programmers to the world of machine learning. If you know C++ but haven't worked with machine learning solutions before, this book is a good place to start learning the basics and experimenting with the language's essential concepts and techniques.The book starts off by showing you how to set up a development environment and put together some basic neural networks using the Flashlight library. It then covers essential tasks like data preprocessing, model training, and evaluation, with practical examples that show how machine learning works in a C++ context. You will also learn strategies for dealing with common problems like overfitting and performance optimization. The next few chapters get into more complex topics like convolutional neural networks, model deployment, and some key performance tuning techniques. This will help you develop and integrate your own models into applications.By the end of the book, you will have essential hands-on experience and a better clarity to explore and expand your machine learning knowledge in C++. This book doesn't aim to cover everything, but it does serve as a good starting point for you to confidently dive into the world of machine learning and deep learning.Key LearningsUse Flashlight to set up a C++ environment for machine learning projects.Implement neural networks from scratch to gain a hands-on understanding.Preprocess and augment data effectively to improve model performance.Train and evaluate models using appropriate loss functions and metrics.Explore overfitting challenges with techniques like regularization and dropout.Build advanced architectures like ResNet.Apply transfer learning to leverage pre-trained models.Deploy models and integrate them into real-world C++ apps.Implement real-time inference with optimized performance.Improve performance using GPU acceleration and multi-threading techniques.Table of ContentGetting Started with C++ Machine LearningData Handling and PreprocessingBuilding a Simple Neural NetworkTraining Deep Neural NetworksConvolutional Neural NetworksImproving Model PerformanceAdvanced Neural Network ArchitecturesDeployment and IntegrationParallelism and Performance Scaling 176 pp. Englisch.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The point of this edition is to help C++ programmers get the skills and confidence they need to do a wide range of networking tasks. The book gives lots of practical, easy-to-follow examples and covers most key areas of network programming, but intentionally leaves out highly complex scenarios.It starts with the basics of how C++ works with TCP/IP and gradually builds on that as you learn to write client-server applications, configure IP addressing and subnets, implement protocols like HTTP, FTP, SMTP, IMAP, and DNS, and handle network communication errors effectively. It's packed with clear explanations and real code that works. You'll dive into VPN setups, wireless networking standards, asynchronous programming models, and network simulations, using modern C++23 features throughout. As the chapters go on, the focus moves on to getting the most out of devices and making them run smoothly. This includes using NETCONF to automate device configurations, managing firmware updates, tweaking socket behavior for better performance, setting up recovery systems, and making diagnostic tools. You'll also set up network monitoring using Nagios, along with custom C++ checks to track faults, performance metrics, and security events in real time. After finishing, you'll be able to think and work like a network programmer and administrator, and you'll be ready to use your skills in real-world situations.Key FeaturesBuild strong foundations in TCP/IP networking using modern C++ coding examples.Work on client-server applications with TCP and UDP sockets, and get to know real-world communication patterns.Get hands-on with IP addressing, subnets, and routing through practical demonstrations and progressive programming exercises.Put core application protocols like HTTP, FTP, SMTP, IMAP, and DNS in C++.Take advantage of NETCONF and C++ to automate configuration tasks across network devices efficiently and consistently.Employ asynchronous programming, multithreading, and event-driven models to handle high-performance networking scenarios.Program your devices to automatically update their firmware, adjust their settings, and recover if something goes wrong.Combine Nagios monitoring with custom C++ checks for fault, performance, and security visibility.Simulate and test networks using NS-3 and diagnostic tools for real-time problem solving.Table of ContentIntroduction to Networking and C++Understanding TCP and UDPNetwork Interfaces and AddressingApplication Layer ProtocolsVPNsWireless NetworksAsynchronous ProgrammingNetwork Testing and SimulationNetwork Configuration ManagementNetwork Monitoring 160 pp. Englisch.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -'Mastering Shell for DevOps' is all about giving DevOps, cloud, and Linux folks the know-how to automate and make their workflows more efficient with shell scripting. The book uses real-world examples and simple instructions to show how to automate tasks and move away from manual work in a DevOps environment.We start with the basics of shell scripting, so you can learn to write scripts that get the job done. It then moves on to version control with Git and GitHub, showing the importance of collaboration and code management in this context. The book then jumps into infrastructure provisioning and configuration management, showing you how to automate the setup of servers and services using tools like AWS CLI, Docker, and Kubernetes.As your skills grow, you'll learn to set up monitoring and logging tools, automate incident detection and resolution, and manage network traffic and load balancing. The book also helps you learn how to automate security tasks, including user access management, vulnerability scanning, patching, and compliance checks. By the end of the book, you'll have a whole toolkit of shell scripts that will help you work more efficiently, reliably, and securely in your DevOps practices.Key FeaturesGet your infrastructure provisioning done automatically with shell scripts for reliable, fast deployments.Make version control a lot easier by using Git and shell scripting for collaborative development.Set up a system to monitor and log your data automatically so you can spot any issues early on.Make it easy to spot and fix problems so your system stays up and running.Get the most out of your network traffic and load balancing with shell scripts for top performance.You can deploy and manage containers with Docker, Podman, and Kubernetes using automation.Give security a boost with scripted access management and permission assignments.Automate vulnerability scanning and patching to keep your system secure.Run system audits and compliance checks with scripted automation.Table of ContentAutomating Routine DevOps TasksManaging CI/CD Pipelines with Shell ScriptingTest Automation and Validation ScriptsTask Scheduling and Monitoring with CRONTABOrchestrating Infrastructure with Shell ScriptingIncident Resolution and Log ManagementManaging Network Traffic and Load BalancingContainerization and Shell ScriptingDevOps Security Automation with Shell Scripting 190 pp. Englisch.

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware Libri GmbH, Europaallee 1, 36244 Bad Hersfeld 160 pp. Englisch.

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The point of this edition is to help C++ programmers get the skills and confidence they need to do a wide range of networking tasks. The book gives lots of practical, easy-to-follow examples and covers most key areas of network programming, but intentionally leaves out highly complex scenarios.It starts with the basics of how C++ works with TCP/IP and gradually builds on that as you learn to write client-server applications, configure IP addressing and subnets, implement protocols like HTTP, FTP, SMTP, IMAP, and DNS, and handle network communication errors effectively. It's packed with clear explanations and real code that works. You'll dive into VPN setups, wireless networking standards, asynchronous programming models, and network simulations, using modern C++23 features throughout. As the chapters go on, the focus moves on to getting the most out of devices and making them run smoothly. This includes using NETCONF to automate device configurations, managing firmware updates, tweaking socket behavior for better performance, setting up recovery systems, and making diagnostic tools. You'll also set up network monitoring using Nagios, along with custom C++ checks to track faults, performance metrics, and security events in real time. After finishing, you'll be able to think and work like a network programmer and administrator, and you'll be ready to use your skills in real-world situations.Key FeaturesBuild strong foundations in TCP/IP networking using modern C++ coding examples.Work on client-server applications with TCP and UDP sockets, and get to know real-world communication patterns.Get hands-on with IP addressing, subnets, and routing through practical demonstrations and progressive programming exercises.Put core application protocols like HTTP, FTP, SMTP, IMAP, and DNS in C++.Take advantage of NETCONF and C++ to automate configuration tasks across network devices efficiently and consistently.Employ asynchronous programming, multithreading, and event-driven models to handle high-performance networking scenarios.Program your devices to automatically update their firmware, adjust their settings, and recover if something goes wrong.Combine Nagios monitoring with custom C++ checks for fault, performance, and security visibility.Simulate and test networks using NS-3 and diagnostic tools for real-time problem solving.Table of ContentIntroduction to Networking and C++Understanding TCP and UDPNetwork Interfaces and AddressingApplication Layer ProtocolsVPNsWireless NetworksAsynchronous ProgrammingNetwork Testing and SimulationNetwork Configuration ManagementNetwork MonitoringLibri GmbH, Europaallee 1, 36244 Bad Hersfeld 160 pp. Englisch.

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Practical C++ Machine Learning introduces C++ programmers to the world of machine learning. If you know C++ but haven't worked with machine learning solutions before, this book is a good place to start learning the basics and experimenting with the language's essential concepts and techniques.The book starts off by showing you how to set up a development environment and put together some basic neural networks using the Flashlight library. It then covers essential tasks like data preprocessing, model training, and evaluation, with practical examples that show how machine learning works in a C++ context. You will also learn strategies for dealing with common problems like overfitting and performance optimization. The next few chapters get into more complex topics like convolutional neural networks, model deployment, and some key performance tuning techniques. This will help you develop and integrate your own models into applications.By the end of the book, you will have essential hands-on experience and a better clarity to explore and expand your machine learning knowledge in C++. This book doesn't aim to cover everything, but it does serve as a good starting point for you to confidently dive into the world of machine learning and deep learning.Key LearningsUse Flashlight to set up a C++ environment for machine learning projects.Implement neural networks from scratch to gain a hands-on understanding.Preprocess and augment data effectively to improve model performance.Train and evaluate models using appropriate loss functions and metrics.Explore overfitting challenges with techniques like regularization and dropout.Build advanced architectures like ResNet.Apply transfer learning to leverage pre-trained models.Deploy models and integrate them into real-world C++ apps.Implement real-time inference with optimized performance.Improve performance using GPU acceleration and multi-threading techniques.Table of ContentGetting Started with C++ Machine LearningData Handling and PreprocessingBuilding a Simple Neural NetworkTraining Deep Neural NetworksConvolutional Neural NetworksImproving Model PerformanceAdvanced Neural Network ArchitecturesDeployment and IntegrationParallelism and Performance ScalingLibri GmbH, Europaallee 1, 36244 Bad Hersfeld 176 pp. Englisch.

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -'Mastering Shell for DevOps' is all about giving DevOps, cloud, and Linux folks the know-how to automate and make their workflows more efficient with shell scripting. The book uses real-world examples and simple instructions to show how to automate tasks and move away from manual work in a DevOps environment.We start with the basics of shell scripting, so you can learn to write scripts that get the job done. It then moves on to version control with Git and GitHub, showing the importance of collaboration and code management in this context. The book then jumps into infrastructure provisioning and configuration management, showing you how to automate the setup of servers and services using tools like AWS CLI, Docker, and Kubernetes.As your skills grow, you'll learn to set up monitoring and logging tools, automate incident detection and resolution, and manage network traffic and load balancing. The book also helps you learn how to automate security tasks, including user access management, vulnerability scanning, patching, and compliance checks. By the end of the book, you'll have a whole toolkit of shell scripts that will help you work more efficiently, reliably, and securely in your DevOps practices.Key FeaturesGet your infrastructure provisioning done automatically with shell scripts for reliable, fast deployments.Make version control a lot easier by using Git and shell scripting for collaborative development.Set up a system to monitor and log your data automatically so you can spot any issues early on.Make it easy to spot and fix problems so your system stays up and running.Get the most out of your network traffic and load balancing with shell scripts for top performance.You can deploy and manage containers with Docker, Podman, and Kubernetes using automation.Give security a boost with scripted access management and permission assignments.Automate vulnerability scanning and patching to keep your system secure.Run system audits and compliance checks with scripted automation.Table of ContentAutomating Routine DevOps TasksManaging CI/CD Pipelines with Shell ScriptingTest Automation and Validation ScriptsTask Scheduling and Monitoring with CRONTABOrchestrating Infrastructure with Shell ScriptingIncident Resolution and Log ManagementManaging Network Traffic and Load BalancingContainerization and Shell ScriptingDevOps Security Automation with Shell ScriptingLibri GmbH, Europaallee 1, 36244 Bad Hersfeld 190 pp. Englisch.