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    Python Machine Learning By Example. Implement machine learning algorithms and techniques to build intelligent systems - Second Edition

    (ebook) (audiobook) (audiobook) Język publikacji: angielski
    Python Machine Learning By Example. Implement machine learning algorithms and techniques to build intelligent systems - Second Edition Yuxi (Hayden) Liu - okładka ebooka

    Python Machine Learning By Example. Implement machine learning algorithms and techniques to build intelligent systems - Second Edition Yuxi (Hayden) Liu - okładka ebooka

    Python Machine Learning By Example. Implement machine learning algorithms and techniques to build intelligent systems - Second Edition Yuxi (Hayden) Liu - okładka audiobooka MP3

    Python Machine Learning By Example. Implement machine learning algorithms and techniques to build intelligent systems - Second Edition Yuxi (Hayden) Liu - okładka audiobooks CD

    Ocena:
    Bądź pierwszym, który oceni tę książkę
    Stron:
    382
    Dostępne formaty:
    PDF
    ePub
    Mobi

    Ebook

    109,00 zł

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    Do przechowalni

    The surge in interest in machine learning (ML) is due to the fact that it revolutionizes automation by learning patterns in data and using them to make predictions and decisions. If you’re interested in ML, this book will serve as your entry point to ML.

    Python Machine Learning By Example begins with an introduction to important ML concepts and implementations using Python libraries. Each chapter of the book walks you through an industry adopted application. You’ll implement ML techniques in areas such as exploratory data analysis, feature engineering, and natural language processing (NLP) in a clear and easy-to-follow way.

    With the help of this extended and updated edition, you’ll understand how to tackle data-driven problems and implement your solutions with the powerful yet simple Python language and popular Python packages and tools such as TensorFlow, scikit-learn, gensim, and Keras. To aid your understanding of popular ML algorithms, the book covers interesting and easy-to-follow examples such as news topic modeling and classification, spam email detection, stock price forecasting, and more.

    By the end of the book, you’ll have put together a broad picture of the ML ecosystem and will be well-versed with the best practices of applying ML techniques to make the most out of new opportunities.

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    O autorze ebooka

    Yuxi (Hayden) Liu rozwija modele uczenia maszynowego w Google. Wcześniej pracował naukowo nad zastosowaniami uczenia maszynowego w takich dziedzinach jak reklama internetowa i cyberbezpieczeństwo. Jest entuzjastą edukacji i autorem wielu książek o uczeniu maszynowym. Pierwsze wydanie tego podręcznika zajmowało wiodącą pozycję w rankingu Amazona w latach 2017 i 2018.

    Yuxi (Hayden) Liu - pozostałe książki

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