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    Angular and Machine Learning Pocket Primer. A Comprehensive Guide to Angular and Integrating Machine Learning

    (ebook) (audiobook) (audiobook) Książka w języku 1
    Autorzy:
    Mercury Learning and Information, Oswald Campesato
    Angular and Machine Learning Pocket Primer. A Comprehensive Guide to Angular and Integrating Machine Learning Mercury Learning and Information, Oswald Campesato - okladka książki

    Angular and Machine Learning Pocket Primer. A Comprehensive Guide to Angular and Integrating Machine Learning Mercury Learning and Information, Oswald Campesato - okladka książki

    Angular and Machine Learning Pocket Primer. A Comprehensive Guide to Angular and Integrating Machine Learning Mercury Learning and Information, Oswald Campesato - audiobook MP3

    Angular and Machine Learning Pocket Primer. A Comprehensive Guide to Angular and Integrating Machine Learning Mercury Learning and Information, Oswald Campesato - audiobook CD

    Wydawnictwo:
    Mercury_Learning (Z chęcią przeczytam książkę w języku polskim)
    Ocena:
    Bądź pierwszym, który oceni tę książkę
    Stron:
    278
    Dostępne formaty:
         PDF
         ePub
    As part of the best-selling *Pocket Primer* series, this book introduces readers to basic machine learning concepts and integrates them into Angular applications. It offers a fast-paced introduction to essential machine learning features and an overview of popular classifiers. Covering Angular functionality, basic machine learning concepts, and key classification algorithms, the book includes numerous code samples and figures. Topics such as TensorFlow and Keras are also explored.
    The book begins with a quick introduction to Angular, followed by UI controls, user input, and forms and services. As you progress, you will delve into machine learning, working with classifiers, and integrating TensorFlow.js with Angular. These foundational topics ensure a comprehensive grasp of both Angular and machine learning principles, equipping you with practical skills for developing sophisticated applications.
    Understanding these concepts is crucial for enhancing Angular projects with machine learning capabilities. This book transitions you from a novice to a proficient developer, equipped with the knowledge and tools needed to create advanced applications. Companion files with source code and color figures enhance the learning experience, making this book an invaluable resource for integrating machine learning with Angular.

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    O autorach książki

    MERCURY LEARNING and INFORMATION publishes content in the areas of science and medicine, technology and computing, engineering, and mathematics designed for the professional/reference, trade, library, higher education, career school, and online training markets.
    Oswald Campesato specializes in Deep Learning, Python, Data Science, and generative AI. He is the author/co-author of over forty books including Google Gemini for Python, Data Cleaning, and GPT-4 for Developers (all Mercury Learning).

    Mercury Learning and Information, Oswald Campesato - pozostałe książki

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