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    Statistics for Machine Learning. Techniques for exploring supervised, unsupervised, and reinforcement learning models with Python and R

    (ebook) (audiobook) (audiobook) Język publikacji: angielski
    Statistics for Machine Learning. Techniques for exploring supervised, unsupervised, and reinforcement learning models with Python and R Pratap Dangeti - okładka ebooka

    Statistics for Machine Learning. Techniques for exploring supervised, unsupervised, and reinforcement learning models with Python and R Pratap Dangeti - okładka ebooka

    Statistics for Machine Learning. Techniques for exploring supervised, unsupervised, and reinforcement learning models with Python and R Pratap Dangeti - okładka audiobooka MP3

    Statistics for Machine Learning. Techniques for exploring supervised, unsupervised, and reinforcement learning models with Python and R Pratap Dangeti - okładka audiobooks CD

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    Stron:
    442
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    Ebook

    159,00 zł

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    Do przechowalni

    Complex statistics in machine learning worry a lot of developers. Knowing statistics helps you build strong machine learning models that are optimized for a given problem statement.

    This book will teach you all it takes to perform the complex statistical computations that are required for machine learning. You will gain information on the statistics behind supervised learning, unsupervised learning, reinforcement learning, and more. You will see real-world examples that discuss the statistical side of machine learning and familiarize yourself with it. You will come across programs for performing tasks such as modeling, parameter fitting, regression, classification, density collection, working with vectors, matrices, and more.

    By the end of the book, you will have mastered the statistics required for machine learning and will be able to apply your new skills to any sort of industry problem.

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    O autorze ebooka

    Pratap Dangeti develops machine learning and deep learning solutions for structured, image, and text data at TCS, analytics and insights, innovation lab in Bangalore. He has acquired a lot of experience in both analytics and data science. He received his master's degree from IIT Bombay in its industrial engineering and operations research program. He is an artificial intelligence enthusiast. When not working, he likes to read about next-gen technologies and innovative methodologies.

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