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    Feature Engineering Made Easy. Identify unique features from your dataset in order to build powerful machine learning systems Sinan Ozdemir, Divya Susarla

    (ebook) (audiobook) (audiobook) Książka w języku 1
    Feature Engineering Made Easy. Identify unique features from your dataset in order to build powerful machine learning systems Sinan Ozdemir, Divya Susarla - okladka książki

    Feature Engineering Made Easy. Identify unique features from your dataset in order to build powerful machine learning systems Sinan Ozdemir, Divya Susarla - okladka książki

    Feature Engineering Made Easy. Identify unique features from your dataset in order to build powerful machine learning systems Sinan Ozdemir, Divya Susarla - audiobook MP3

    Feature Engineering Made Easy. Identify unique features from your dataset in order to build powerful machine learning systems Sinan Ozdemir, Divya Susarla - audiobook CD

    Autorzy:
    Sinan Ozdemir, Divya Susarla
    Wydawnictwo:
    Packt Publishing (Z chęcią przeczytam książkę w języku polskim)
    Ocena:
    Bądź pierwszym, który oceni tę książkę
    Stron:
    316
    Dostępne formaty:
         PDF
         ePub
         Mobi
    Feature engineering is the most important step in creating powerful machine learning systems. This book will take you through the entire feature-engineering journey to make your machine learning much more systematic and effective.

    You will start with understanding your data—often the success of your ML models depends on how you leverage different feature types, such as continuous, categorical, and more, You will learn when to include a feature, when to omit it, and why, all by understanding error analysis and the acceptability of your models. You will learn to convert a problem statement into useful new features. You will learn to deliver features driven by business needs as well as mathematical insights. You'll also learn how to use machine learning on your machines, automatically learning amazing features for your data.


    By the end of the book, you will become proficient in Feature Selection, Feature Learning, and Feature Optimization.

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    O autorach książki

    Sinan Ozdemir is a data scientist, start-up founder, and educator living in the San Francisco Bay Area. He studied pure mathematics at the Johns Hopkins University. He then spent several years conducting lectures on data science there, before founding his own start-up, Kylie ai, which uses artificial intelligence to clone brand personalities and automate customer service communications. He is also the author of Principles of Data Science, available through Packt.
    Divya Susarla is an experienced leader in data methods, implementing and applying tactics across a range of industries and fields including investment management, social enterprise consulting, and wine marketing. She trained in data by way of specializing in Economics and Political Science at University of California, Irvine, cultivating a passion for teaching by developing an analytically based, international affairs curriculum for students through the Global Connect program. Divya is currently focused on natural language processing and generation techniques at Kylie.ai, a startup helping clients automate their customer support conversations. When she is not busy working on building Kylie.ai and writing educational content, she spends her time traveling across the globe and experimenting with new recipes at her home in Berkeley, CA.

    Packt Publishing - inne książki

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