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    Artificial Intelligence and Machine Learning Fundamentals. Develop real-world applications powered by the latest AI advances

    (ebook) (audiobook) (audiobook) Język publikacji: angielski
    Artificial Intelligence and Machine Learning Fundamentals. Develop real-world applications powered by the latest AI advances Zsolt Nagy - okładka ebooka

    Artificial Intelligence and Machine Learning Fundamentals. Develop real-world applications powered by the latest AI advances Zsolt Nagy - okładka ebooka

    Artificial Intelligence and Machine Learning Fundamentals. Develop real-world applications powered by the latest AI advances Zsolt Nagy - okładka audiobooka MP3

    Artificial Intelligence and Machine Learning Fundamentals. Develop real-world applications powered by the latest AI advances Zsolt Nagy - okładka audiobooks CD

    Ocena:
    Bądź pierwszym, który oceni tę książkę
    Stron:
    330
    Dostępne formaty:
    PDF
    ePub
    Mobi

    Ebook

    94,99 zł

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    Do przechowalni

    Machine learning and neural networks are pillars on which you can build intelligent applications. Artificial Intelligence and Machine Learning Fundamentals begins by introducing you to Python and discussing AI search algorithms. You will cover in-depth mathematical topics, such as regression and classification, illustrated by Python examples.

    As you make your way through the book, you will progress to advanced AI techniques and concepts, and work on real-life datasets to form decision trees and clusters. You will be introduced to neural networks, a powerful tool based on Moore's law.

    By the end of this book, you will be confident when it comes to building your own AI applications with your newly acquired skills!

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    O autorze ebooka

    Zsolt Nagy is an engineering manager in an ad tech company heavy on data science. After acquiring his MSc in inference on ontologies, he used AI mainly for analyzing online poker strategies to aid professional poker players in decision making. After the poker boom ended, he put extra effort into building a T-shaped profile in leadership and software engineering.

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