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  1. Chien, Jen-tzung [Author]

    Source separation and machine learning

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    London; San Diego; Cambirdge, Ma; Oxford: Elsevier, Academic Press, [2019]

  2. Theodoridis, Sergios [Author]

    Machine learning : a Bayesian and optimization perspective

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    Amsterdam; Boston; Heidelberg; London; New York; Oxford; Paris; San Diego; San Francisco; Singapore; Sydney; Tokyo: Elsevier, AP, [2015]

  3. Langley, Pat [Author]

    Elements of machine learning

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    San Francisco, Calif.: Morgan Kaufmann Publ., 1996

    Published in: The Morgan Kaufmann series in machine learning

  4. Schütt, Kristof [Editor]; Chmiela, Stefan [Editor]; Lilienfeld, O. Anatole von [Editor]; Tkatchenko, Alexandre [Editor]; Tsuda, Koji [Editor]; Müller, Klaus-Robert [Editor] ; Springer International Publishing

    Machine learning meets quantum physics

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    Cham, Switzerland: Springer, [2020]

    Published in: Lecture notes in physics ; 968

  5. Dong, Guozhu [Editor]; Liu, Huan [Editor]

    Feature engineering for machine learning and data analytics

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    Boca Raton; London; New York: CRC Press, Taylor & Francis Group, a Chapman & Hall book, [2018]

    Published in: Chapman & Hall/CRC data mining and knowledge discovery series

  6. Alpaydın, Ethem [Author]

    Maschinelles Lernen - [2. Auflage]

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    Berlin; Boston: De Gruyter Oldenbourg, [2019]

    Published in: De Gruyter Studium

  7. Schuld, Maria [Author]; Petruccione, Francesco [Author]

    Supervised learning with quantum computers

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    Cham: Springer, [2018]

    Published in: Quantum science and technology

  8. Brink, Henrik [Author]; Richards, Joseph W. [Author]; Fetherolf, Mark [Author] ; Cronin, Beau [Writer of preface]

    Real-world machine learning

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    Shelter Island: Manning, [2017]