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  • Information Theory : From Coding to Learning
    Information Theory : From Coding to Learning

    This enthusiastic introduction to the fundamentals of information theory builds from classical Shannon theory through to modern applications in statistical learning, equipping students with a uniquely well-rounded and rigorous foundation for further study.Introduces core topics such as data compression, channel coding, and rate-distortion theory using a unique finite block-length approach.With over 210 end-of-part exercises and numerous examples, students are introduced to contemporary applications in statistics, machine learning and modern communication theory.This textbook presents information-theoretic methods with applications in statistical learning and computer science, such as f-divergences, PAC Bayes and variational principle, Kolmogorov's metric entropy, strong data processing inequalities, and entropic upper bounds for statistical estimation.Accompanied by a solutions manual for instructors, and additional standalone chapters on more specialized topics in information theory, this is the ideal introductory textbook for senior undergraduate and graduate students in electrical engineering, statistics, and computer science.

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  • Programming Machine Learning : From Coding to Deep Learning
    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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  • Principles of Digital Communication and Coding
    Principles of Digital Communication and Coding

    This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it.This work is in the "public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.

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  • DKfindout! Coding
    DKfindout! Coding

    Silver award winner in the MadeForMums Awards 2017 children's books series category. DKfindout! Coding explains coding clearly for children with beautiful photography, lively illustrations, and key curriculum information.The DKfindout! series will satisfy any child who is eager to learn and acquire facts - and keep them coming back for more!DKfindout!Coding is packed with up-to-date information and fun quizzes, while key curriculum text tells children why we use code, how computers use code and covers the history of coding from early computer programming languages to Python and Scratch.Learn about coding pioneers Ada Lovelace and Alan Turing and how codes have been used throughout history. DKfindout! Coding will surprise and delight young readers.

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  • What is the exact difference between source coding and channel coding in digital modulation?

    Source coding and channel coding are two different processes in digital modulation. Source coding is the process of compressing the data to reduce the amount of information that needs to be transmitted. It aims to remove redundancy and irrelevant information from the source data. On the other hand, channel coding is the process of adding redundancy to the data before transmission in order to make it more resilient to errors that may occur during transmission. It aims to protect the data from noise and interference in the communication channel. In summary, source coding reduces the amount of data to be transmitted, while channel coding adds redundancy to protect the data during transmission.

  • What online courses are available to learn Java Minecraft coding?

    There are several online courses available to learn Java Minecraft coding, such as Codecademy's "Learn Java" course, Udemy's "Java Programming Masterclass for Software Developers," and Coursera's "Java Programming and Software Engineering Fundamentals" course. These courses cover the basics of Java programming and how to apply it to Minecraft modding. Additionally, websites like Tynker and Youth Digital offer specialized courses for kids and teens interested in learning Java Minecraft coding.

  • What is the difference between the coding and non-coding strand?

    The coding strand, also known as the sense strand, is the DNA strand that has the same sequence as the mRNA that is transcribed from it. This means that the coding strand has the same sequence as the resulting protein. On the other hand, the non-coding strand, also known as the template strand, is the DNA strand that is used as a template for the synthesis of mRNA during transcription. It has a complementary sequence to the mRNA and does not directly code for the protein.

  • What is Huffman coding?

    Huffman coding is a method used for lossless data compression, where variable-length codes are assigned to different characters based on their frequencies in the input data. This technique ensures that more frequent characters are assigned shorter codes, while less frequent characters are assigned longer codes, resulting in overall compression of the data. Huffman coding is widely used in various applications, such as file compression algorithms and data transmission protocols, to reduce the size of data without losing any information.

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  • Communications and Coding
    Communications and Coding


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  • Coding For Dummies
    Coding For Dummies

    Coding For Dummies, (9781119293323) was previously published as Coding For Dummies, (9781118951309).While this version features a new Dummies cover and design, the content is the same as the prior release and should not be considered a new or updated product.Hands-on exercises help you learn to code like a pro No coding experience is required for Coding For Dummies, your one-stop guide to building a foundation of knowledge in writing computer code for web, application, and software development.It doesn't matter if you've dabbled in coding or never written a line of code, this book guides you through the basics.Using foundational web development languages like HTML, CSS, and JavaScript, it explains in plain English how coding works and why it's needed. Online exercises developed by Codecademy, a leading online code training site, help hone coding skills and demonstrate results as you practice. The site provides an environment where you can try out tutorials built into the text and see the actual output from your coding.You'll also gain access to end-of-chapter challenges to apply newly acquired skills to a less-defined assignment.So what are you waiting for? The current demand for workers with coding and computer science skills far exceeds the supplyTeaches the foundations of web development languages in an easy-to-understand formatOffers unprecedented opportunities to practice basic coding languagesReaders can access online hands-on exercises and end-of-chapter assessments that develop and test their new-found skills If you're a student looking for an introduction to the basic concepts of coding or a professional looking to add new skills, Coding For Dummies has you covered.

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  • Baby Loves Coding!
    Baby Loves Coding!


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  • What is Coding?
    What is Coding?

    Could you program a toaster Make a phone call on a watch Stop a thief from stealing your identity With computers we can do all this and more.Learn about our digital lives from staying safe online to understanding a computer's languages and discover how computers store and use our information in Computers and Coding.This series uses engaging imagery and simple information to equip young readers with the digital skills they need to live and learn in a virtual world.l|Could you program a toaster Make a phone call on a watch Stop a thief from stealing your identity With computers we can do all this and more.Learn about our digital lives from staying safe online to understanding a computer's languages and discover how computers store and use our information in Computers and Coding.This series uses engaging imagery and simple information to equip young readers with the digital skills they need to live and learn in a virtual world.l

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  • How can one learn coding?

    One can learn coding through a variety of resources such as online tutorials, coding bootcamps, and formal education programs. There are many websites and platforms that offer free or paid coding courses, such as Codecademy, Coursera, and Udemy. Additionally, joining coding communities and forums can provide valuable support and guidance from experienced programmers. It's also important to practice coding regularly and work on real-world projects to gain practical experience and improve skills.

  • Are there any coding errors?

    No, there are no coding errors in the provided text.

  • I need help with coding.

    Of course! I'd be happy to help with coding. Please let me know what specific coding issue you are facing or what you need assistance with, and I'll do my best to provide guidance or support. Whether it's troubleshooting errors, understanding concepts, or writing code from scratch, I'm here to assist you. Just provide me with more details about your coding needs, and we can work through it together.

  • Is coding uncomfortable for you?

    As an AI, I don't have physical discomfort, so coding is not uncomfortable for me. However, for humans, coding can be uncomfortable at times, especially when facing challenging problems or long periods of sitting and staring at a screen. It's important to take breaks, stretch, and practice good ergonomics to minimize discomfort while coding. Additionally, building up coding skills and experience can help make the process more comfortable and enjoyable.

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