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Nailong Zhang – författare

Visar alla böcker från författaren Nailong Zhang. Handla med fri frakt och snabb leverans.

4 produkter

  1. Nailong Zhang - Tour of Data Science, Häftad. Tillgänglighet: Lägg i varukorg

    Tour of Data Science

    Learn R and Python in Parallel

    Av Nailong Zhang

    Häftad, 2020

    820 kr

    Lägg i varukorg

    A Tour of Data Science: Learn R and Python in Parallel covers the fundamentals of data science, including programming, statistics, optimization, and machine learning in a single short book. It does not cover everything, but rather, teaches the key concepts and topics in Data Science. It also covers …

  2. Nailong Zhang - Tour of Data Science, Inbunden. Tillgänglighet: Lägg i varukorg

    Tour of Data Science

    Learn R and Python in Parallel

    Av Nailong Zhang

    Inbunden, 2020

    2504 kr

    Lägg i varukorg

    A Tour of Data Science: Learn R and Python in Parallel covers the fundamentals of data science, including programming, statistics, optimization, and machine learning in a single short book. It does not cover everything, but rather, teaches the key concepts and topics in Data Science. It also covers …

  3. Nailong Zhang - Tour of Data Science, E-bok. Tillgänglighet: Lägg i varukorg

    Tour of Data Science

    Learn R and Python in Parallel

    Av Nailong Zhang

    E-bok, 2020

    999 kr

    Lägg i varukorg

    A Tour of Data Science: Learn R and Python in Parallel covers the fundamentals of data science, including programming, statistics, optimization, and machine learning in a single short book. It does not cover everything, but rather, teaches the key concepts and topics in Data Science. It also covers …

  4. Nailong Zhang - Tour of Data Science, E-bok. Tillgänglighet: Lägg i varukorg

    Tour of Data Science

    Learn R and Python in Parallel

    Av Nailong Zhang

    E-bok, 2020

    999 kr

    Lägg i varukorg

    A Tour of Data Science: Learn R and Python in Parallel covers the fundamentals of data science, including programming, statistics, optimization, and machine learning in a single short book. It does not cover everything, but rather, teaches the key concepts and topics in Data Science. It also covers …