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    Python Machine Learning By Example. Unlock machine learning best practices with real-world use cases - Fourth Edition

    (ebook) (audiobook) (audiobook) Język publikacji: angielski
    Autor:
    Yuxi (Hayden) Liu
    Python Machine Learning By Example. Unlock machine learning best practices with real-world use cases - Fourth Edition Yuxi (Hayden) Liu - okładka ebooka

    Python Machine Learning By Example. Unlock machine learning best practices with real-world use cases - Fourth Edition Yuxi (Hayden) Liu - okładka ebooka

    Python Machine Learning By Example. Unlock machine learning best practices with real-world use cases - Fourth Edition Yuxi (Hayden) Liu - okładka audiobooka MP3

    Python Machine Learning By Example. Unlock machine learning best practices with real-world use cases - Fourth Edition Yuxi (Hayden) Liu - okładka audiobooks CD

    Ocena:
    Bądź pierwszym, który oceni tę książkę
    Stron:
    497
    The fourth edition of Python Machine Learning by Example is a comprehensive guide for beginners and experienced ML practitioners who want to learn more advanced techniques like multimodal modeling. Written by experienced machine learning author and ex-Google ML engineer Yuxi (Hayden) Liu, this edition emphasizes best practices, providing invaluable insights for ML engineers, data scientists, and analysts.

    Explore advanced techniques, including two new chapters on natural language processing transformers with BERT and GPT, and multimodal computer vision models with PyTorch and Hugging Face. You’ll learn key modeling techniques using practical examples, such as predicting stock prices and creating an image search engine.

    This hands-on machine learning book navigates through complex challenges, bridging the gap between theoretical understanding and practical application. Elevate your machine learning and deep learning expertise, tackle intricate problems, and unlock the potential of advanced techniques in machine learning with this authoritative guide.

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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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