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    Hands-On Automated Machine Learning. A beginner's guide to building automated machine learning systems using AutoML and Python Sibanjan Das, Umit Mert Cakmak

    (ebook) (audiobook) (audiobook) Książka w języku angielskim
    Hands-On Automated Machine Learning. A beginner's guide to building automated machine learning systems using AutoML and Python Sibanjan Das, Umit Mert Cakmak - okladka książki

    Hands-On Automated Machine Learning. A beginner's guide to building automated machine learning systems using AutoML and Python Sibanjan Das, Umit Mert Cakmak - okladka książki

    Hands-On Automated Machine Learning. A beginner's guide to building automated machine learning systems using AutoML and Python Sibanjan Das, Umit Mert Cakmak - audiobook MP3

    Hands-On Automated Machine Learning. A beginner's guide to building automated machine learning systems using AutoML and Python Sibanjan Das, Umit Mert Cakmak - audiobook CD

    Autorzy:
    Sibanjan Das, Umit Mert Cakmak
    Wydawnictwo:
    Packt Publishing (Z chęcią przeczytam książkę w języku polskim)
    Ocena:
    Bądź pierwszym, który oceni tę książkę
    Stron:
    282
    Dostępne formaty:
         PDF
         ePub
         Mobi
    AutoML is designed to automate parts of Machine Learning. Readily available AutoML tools are making data science practitioners’ work easy and are received well in the advanced analytics community. Automated Machine Learning covers the necessary foundation needed to create automated machine learning modules and helps you get up to speed with them in the most practical way possible.

    In this book, you’ll learn how to automate different tasks in the machine learning pipeline such as data preprocessing, feature selection, model training, model optimization, and much more. In addition to this, it demonstrates how you can use the available automation libraries, such as auto-sklearn and MLBox, and create and extend your own custom AutoML components for Machine Learning.

    By the end of this book, you will have a clearer understanding of the different aspects of automated Machine Learning, and you’ll be able to incorporate automation tasks using practical datasets. You can leverage your learning from this book to implement Machine Learning in your projects and get a step closer to winning various machine learning competitions.

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    O autorach książki

    Sibanjan Das is a Business Analytics and Data Science consultant. He has extensive experience in implementing predictive analytics solutions in Business Systems and IoT. An enthusiastic and passionate professional about technology and innovation, he has the passion for wrangling with data since early days of his career. Sibanjan holds a Masters IT degree with major in Business Analytics from Singapore Management University and holds several industry certifications such as OCA, OCP and CSCMS.
    Umit Mert Cakmak is a data scientist at IBM, where he excels at helping clients solve complex data science problems, from inception to delivery of deployable assets. His research spans multiple disciplines beyond his industry and he likes sharing his insights at conferences, universities, and meet-ups.

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