Products related to Network:
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Programming Machine Learning : From Coding to Deep Learning
You've decided to tackle machine learning - because you're job hunting, embarking on a new project, or just think self-driving cars are cool.But where to start? It's easy to be intimidated, even as a software developer.The good news is that it doesn't have to be that hard.Master machine learning by writing code one line at a time, from simple learning programs all the way to a true deep learning system.Tackle the hard topics by breaking them down so they're easier to understand, and build your confidence by getting your hands dirty.Peel away the obscurities of machine learning, starting from scratch and going all the way to deep learning.Machine learning can be intimidating, with its reliance on math and algorithms that most programmers don't encounter in their regular work.Take a hands-on approach, writing the Python code yourself, without any libraries to obscure what's really going on.Iterate on your design, and add layers of complexity as you go.Build an image recognition application from scratch with supervised learning.Predict the future with linear regression. Dive into gradient descent, a fundamental algorithm that drives most of machine learning.Create perceptrons to classify data. Build neural networks to tackle more complex and sophisticated data sets.Train and refine those networks with backpropagation and batching.Layer the neural networks, eliminate overfitting, and add convolution to transform your neural network into a true deep learning system.Start from the beginning and code your way to machine learning mastery.What You Need: The examples in this book are written in Python, but don't worry if you don't know this language: you'll pick up all the Python you need very quickly.Apart from that, you'll only need your computer, and your code-adept brain.
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Network Coding for Engineers
Understand the fundamentals of network coding from an engineering perspective with this accessible guide Network Coding is a method of increasing network throughput and efficiency by encoding and decoding transmitted data packets instead of simply forwarding them.It was mainly a body of information theory until the rise of random linear networking coding (RLNC), a method ideally suited to wireless networks and other cooperative environments.The ease of introducing network coding to legacy systems and the resulting gains in efficiency have made this a widely applied technology with the potential to revolutionize networked communications.Network Coding for Engineers introduces the fundamentals of this exciting subject from an engineering perspective.Beginning with the basics, including step-by-step details for implementing network coding and current applications, it also highlights potential uses of network coding in the communications technologies of the future.The result is an innovative and accessible introduction to a subject quickly becoming indispensable.Network Coding for Engineers readers will also find: A structure that facilitates gradual deepening of knowledge, ideal for students and new readersFollows a semester-long course curriculum structure, making it suitable for direct adaptation for academic purposesDetailed discussion of future applications in technology areas including post-quantum cryptography, 6G, and moreDesign principles for different network models, such as multi-path and mesh networksNetwork Coding for Engineers is ideal for electrical engineering and computer science students, particularly those studying advanced networking and communications and related subjects.
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50PCS Engineer Programming Network Coding Hacker Stickers DIY Laptops Water Bottles Phones
50PCS Engineer Programming Network Coding Hacker Stickers DIY Laptops Water Bottles Phones
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50PCS Cool Engineer Programming Network Coding Hacker MEME Stickers Vinyl DIY Computer Laptop
50PCS Cool Engineer Programming Network Coding Hacker MEME Stickers Vinyl DIY Computer Laptop
Price: 1.70 £ | Shipping*: 1.99 £
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Is learning programming and software development very challenging?
Learning programming and software development can be challenging for some people, as it requires logical thinking, problem-solving skills, and attention to detail. However, with dedication, practice, and the right resources, it is definitely achievable. Breaking down complex concepts into smaller, more manageable parts and seeking help from online tutorials, courses, and communities can make the learning process easier and more enjoyable. Ultimately, the level of challenge will vary depending on the individual's background, experience, and learning style.
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Are network protocols software?
Yes, network protocols are a set of rules and conventions that govern the communication and data exchange between devices on a network. These rules are implemented in software, which allows devices to understand and interpret the data being transmitted. Therefore, network protocols can be considered a type of software that enables communication and data transfer within a network.
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Which programming languages are used in software development?
There are many programming languages used in software development, including popular languages such as Java, Python, C++, JavaScript, and Ruby. Each language has its own strengths and is used for different purposes in software development. For example, Java is commonly used for building enterprise-level applications, while Python is known for its simplicity and versatility. C++ is often used for system software and game development, while JavaScript is essential for web development. Overall, the choice of programming language depends on the specific requirements of the software being developed.
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How is the development of the switching network done with an output switching network?
The development of the switching network with an output switching network involves designing a system that can efficiently route data packets from input ports to output ports. This is typically achieved by using algorithms to determine the best path for each packet based on factors like network congestion and available bandwidth. The output switching network then directs the packets to their respective output ports, ensuring that data is transmitted accurately and efficiently. By carefully managing the flow of data through the network, the output switching network helps optimize performance and minimize delays.
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Python Network Programming Cookbook -
Discover practical solutions for a wide range of real-world network programming tasksAbout This Book• Solve real-world tasks in the area of network programming, system/networking administration, network monitoring, and more. • Familiarize yourself with the fundamentals and functionalities of SDN• Improve your skills to become the next-gen network engineer by learning the various facets of Python programmingWho This Book Is ForThis book is for network engineers, system/network administrators, network programmers, and even web application developers who want to solve everyday network-related problems.If you are a novice, you will develop an understanding of the concepts as you progress with this book. What You Will Learn• Develop TCP/IP networking client/server applications• Administer local machines' IPv4/IPv6 network interfaces• Write multi-purpose efficient web clients for HTTP and HTTPS protocols• Perform remote system administration tasks over Telnet and SSH connections• Interact with popular websites via web services such as XML-RPC, SOAP, and REST APIs• Monitor and analyze major common network security vulnerabilities• Develop Software-Defined Networks with Ryu, OpenDaylight, Floodlight, ONOS, and POX Controllers• Emulate simple and complex networks with Mininet and its extensions for network and systems emulations• Learn to configure and build network systems and Virtual Network Functions (VNF) in heterogeneous deployment environments• Explore various Python modules to program the InternetIn DetailPython Network Programming Cookbook - Second Edition highlights the major aspects of network programming in Python, starting from writing simple networking clients to developing and deploying complex Software-Defined Networking (SDN) and Network Functions Virtualization (NFV) systems.It creates the building blocks for many practical web and networking applications that rely on various networking protocols.It presents the power and beauty of Python to solve numerous real-world tasks in the area of network programming, network and system administration, network monitoring, and web-application development. In this edition, you will also be introduced to network modelling to build your own cloud network.You will learn about the concepts and fundamentals of SDN and then extend your network with Mininet.Next, you'll find recipes on Authentication, Authorization, and Accounting (AAA) and open and proprietary SDN approaches and frameworks.You will also learn to configure the Linux Foundation networking ecosystem and deploy and automate your networks with Python in the cloud and the Internet scale. By the end of this book, you will be able to analyze your network security vulnerabilities using advanced network packet capture and analysis techniques. Style and approachThis book follows a practical approach and covers major aspects of network programming in Python.It provides hands-on recipes combined with short and concise explanations on code snippets.This book will serve as a supplementary material to develop hands-on skills in any academic course on network programming.This book further elaborates network softwarization, including Software-Defined Networking (SDN), Network Functions Virtualization (NFV), and orchestration.We learn to configure and deploy enterprise network platforms, develop applications on top of them with Python.
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Deep Learning Projects Using TensorFlow 2 : Neural Network Development with Python and Keras
Work through engaging and practical deep learning projects using TensorFlow 2.0.Using a hands-on approach, the projects in this book will lead new programmers through the basics into developing practical deep learning applications.Deep learning is quickly integrating itself into the technology landscape.Its applications range from applicable data science to deep fakes and so much more.It is crucial for aspiring data scientists or those who want to enter the field of AI to understand deep learning concepts.The best way to learn is by doing. You'll develop a working knowledge of not only TensorFlow, but also related technologies such as Python and Keras.You'll also work with Neural Networks and other deep learning concepts.By the end of the book, you'll have a collection of unique projects that you can add to your GitHub profiles and expand on for professional application.What You'll LearnGrasp the basic process of neural networks through projects, such as creating musicRestore and colorize black and white images with deep learning processesWho This Book Is ForBeginners new to TensorFlow and Python.
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Network Programming With Go : Code Secure and Reliable Network Services from Scratch
In Network Programming with Go readers learn how to leverage Go's concurrency and rich standard library to write robust network programs to create and handle network connections.Difficult concepts are explained with analogies, diagrammes, and examples as readers learn to solve common networking problems and write secure software.For professional developers and experienced Go programmers.
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Learning, Training, and Development in Organizations
This scholarly book in SIOP’s Organizational Frontier series looks at research on enhancing knowledge acquisition and its application in organizations.It concentrates on training, design and delivery given the changing nature of work and organizations.Now that work is increasingly complex, there is greater emphasis on expertise and cognitive skills.Advances in technology such as computer simulations and web-based training are necessitating a more active role for the learner in the training process.In the broad context of the organization systems, this book promotes learning and development as a continuous lifelong endeavor.
Price: 46.99 £ | Shipping*: 0.00 £
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What is the difference between software development and programming?
Software development is a broader term that encompasses the entire process of creating software, including planning, designing, testing, and maintaining software applications. Programming, on the other hand, refers specifically to the act of writing code to instruct a computer to perform certain tasks. While programming is a key component of software development, software development involves a more comprehensive approach that includes various stages beyond just writing code.
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What training opportunities are available for IT specialists to specialize in web development and general programming, such as software development?
There are various training opportunities available for IT specialists looking to specialize in web development and general programming. Online platforms like Coursera, Udemy, and Codecademy offer courses and certifications in programming languages such as Python, Java, and JavaScript. Additionally, coding bootcamps like General Assembly and Flatiron School provide intensive, hands-on training in software development. IT specialists can also pursue advanced degrees in computer science or related fields to deepen their knowledge and skills in web development and programming.
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What training options are available for IT specialists to specialize in web development and general programming, such as software development?
IT specialists looking to specialize in web development and general programming have a variety of training options available to them. They can pursue formal education through degree programs in computer science or related fields, attend coding bootcamps that offer intensive training in programming languages and frameworks, or take online courses and tutorials to learn specific skills. Additionally, IT specialists can participate in workshops, seminars, and conferences to stay updated on the latest trends and technologies in web development and software development. Continuous learning and practice are essential for IT specialists to excel in these specialized areas.
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How can one simulate a 5G network in software?
To simulate a 5G network in software, one can use network simulation tools such as ns-3, OPNET, or MATLAB. These tools allow users to create virtual network environments that mimic the behavior of a 5G network, including the propagation of radio waves, network protocols, and traffic patterns. By configuring the parameters and characteristics of the virtual network, users can simulate different scenarios and test the performance of 5G technologies and applications. Additionally, software-defined networking (SDN) and network function virtualization (NFV) can be used to create virtualized 5G network functions and services, allowing for flexible and scalable network simulations.
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