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    Go Machine Learning Projects. Eight projects demonstrating end-to-end machine learning and predictive analytics applications in Go

    (ebook) (audiobook) (audiobook) Książka w języku angielskim
    Autor:
    Xuanyi Chew
    Go Machine Learning Projects. Eight projects demonstrating end-to-end machine learning and predictive analytics applications in Go Xuanyi Chew - okladka książki

    Go Machine Learning Projects. Eight projects demonstrating end-to-end machine learning and predictive analytics applications in Go Xuanyi Chew - okladka książki

    Go Machine Learning Projects. Eight projects demonstrating end-to-end machine learning and predictive analytics applications in Go Xuanyi Chew - audiobook MP3

    Go Machine Learning Projects. Eight projects demonstrating end-to-end machine learning and predictive analytics applications in Go Xuanyi Chew - audiobook CD

    Wydawnictwo:
    Packt Publishing (Z chęcią przeczytam książkę w języku polskim)
    Ocena:
    Bądź pierwszym, który oceni tę książkę
    Stron:
    348
    Dostępne formaty:
         PDF
         ePub
         Mobi
    Go is the perfect language for machine learning; it helps to clearly describe complex algorithms, and also helps developers to understand how to run efficient optimized code. This book will teach you how to implement machine learning in Go to make programs that are easy to deploy and code that is not only easy to understand and debug, but also to have its performance measured.

    The book begins by guiding you through setting up your machine learning environment with Go libraries and capabilities. You will then plunge into regression analysis of a real-life house pricing dataset and build a classification model in Go to classify emails as spam or ham. Using Gonum, Gorgonia, and STL, you will explore time series analysis along with decomposition and clean up your personal Twitter timeline by clustering tweets. In addition to this, you will learn how to recognize handwriting using neural networks and convolutional neural networks. Lastly, you'll learn how to choose the most appropriate machine learning algorithms to use for your projects with the help of a facial detection project.

    By the end of this book, you will have developed a solid machine learning mindset, a strong hold on the powerful Go toolkit, and a sound understanding of the practical implementations of machine learning algorithms in real-world projects.

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    O autorze książki

    Xuanyi Chew is the Chief Data Scientist of a Sydney-based logistics startup. He is the primary author of Gorgonia, an open source deep learning package for Go. He's been practicing machine learning for the past 12 years, applying them typically to help startups. His goal in life is to make an artificial general intelligence a reality. He enjoys learning new things.

    Packt Publishing - inne książki

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