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    Agile Machine Learning with DataRobot. Automate each step of the machine learning life cycle, from understanding problems to delivering value Bipin Chadha, Sylvester Juwe

    (ebook) (audiobook) (audiobook) Książka w języku 1
    Agile Machine Learning with DataRobot. Automate each step of the machine learning life cycle, from understanding problems to delivering value Bipin Chadha, Sylvester Juwe - okladka książki

    Agile Machine Learning with DataRobot. Automate each step of the machine learning life cycle, from understanding problems to delivering value Bipin Chadha, Sylvester Juwe - okladka książki

    Agile Machine Learning with DataRobot. Automate each step of the machine learning life cycle, from understanding problems to delivering value Bipin Chadha, Sylvester Juwe - audiobook MP3

    Agile Machine Learning with DataRobot. Automate each step of the machine learning life cycle, from understanding problems to delivering value Bipin Chadha, Sylvester Juwe - audiobook CD

    Autorzy:
    Bipin Chadha, Sylvester Juwe
    Wydawnictwo:
    Packt Publishing (Z chęcią przeczytam książkę w języku polskim)
    Ocena:
    Bądź pierwszym, który oceni tę książkę
    Stron:
    344
    Dostępne formaty:
         PDF
         ePub
    DataRobot enables data science teams to become more efficient and productive. This book helps you to address machine learning (ML) challenges with DataRobot's enterprise platform, enabling you to extract business value from data and rapidly create commercial impact for your organization.
    You'll begin by learning how to use DataRobot's features to perform data prep and cleansing tasks automatically. The book then covers best practices for building and deploying ML models, along with challenges faced while scaling them to handle complex business problems. Moving on, you'll perform exploratory data analysis (EDA) tasks to prepare your data to build ML models and ways to interpret results. You'll also discover how to analyze the model's predictions and turn them into actionable insights for business users. Next, you'll create model documentation for internal as well as compliance purposes and learn how the model gets deployed as an API. In addition, you'll find out how to operationalize and monitor the model's performance. Finally, you'll work with examples on time series forecasting, NLP, image processing, MLOps, and more using advanced DataRobot capabilities.
    By the end of this book, you'll have learned to use DataRobot's AutoML and MLOps features to scale ML model building by avoiding repetitive tasks and common errors.

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    O autorach książki

    Bipin Chadha is a hands-on leader of data science teams who can find innovative solutions to complex problems. He creates systemic data-driven models that enable executives to understand how their business operates, analyze a broad range of scenarios and strategies, and understand the likely implications of decisions and events prior to implementing risky changes. His passion is building data-driven cultures, developing effective teams, and driving organizations to grow and succeed.
    Sylvester Juwe is a highly accomplished Executive, with hands-on technical expertise implementing complex Big Data and Advanced Analytics solutions, from conceptualisation to commercial impact. He is a well versed leader who leverages sophisticated data capabilities, influences stakeholders, and creates a strong culture of governance and curiosity in solving complex business challenges, thereby creating commercial impact.

    Packt Publishing - inne książki

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