Bokus

Francesco Schilliro – författare

Visar alla böcker från författaren Francesco Schilliro. Handla med fri frakt och snabb leverans.

3 produkter

  1. Filomena Bufano, Simone Riggi, Eva Sciacca, Francesco Schilliro - Machine Learning for Astrophysics, Inbunden. Tillgänglighet: Lägg i varukorg

    Machine Learning for Astrophysics

    Proceedings of the ML4Astro International Conference 30 May - 1 Jun 2022

    Av Filomena Bufano, Simone Riggi m. fl.

    Inbunden, 2023

    1752 kr

    Lägg i varukorg

    This book reviews the state of the art in the exploitation of machine learning techniques for the astrophysics community and gives the reader a complete overview of the field. The contributed chapters allow the reader to easily digest the material through balanced theoretical and numerical methods …

  2. Francesco Schilliro, Eva Sciacca, Simone Riggi, Filomena Bufano - Machine Learning for Astrophysics, E-bok. Tillgänglighet: Lägg i varukorg

    Machine Learning for Astrophysics

    Proceedings of the ML4Astro International Conference 30 May - 1 Jun 2022

    Av Francesco Schilliro, Eva Sciacca m. fl.

    E-bok, 2023

    2274 kr

    Lägg i varukorg

    This book reviews the state of the art in the exploitation of machine learning techniques for the astrophysics community and gives the reader a complete overview of the field. The contributed chapters allow the reader to easily digest the material through balanced theoretical and numerical methods …

  3. Filomena Bufano, Simone Riggi, Eva Sciacca, Francesco Schilliro - Machine Learning for Astrophysics, Häftad. Tillgänglighet: Lägg i varukorg

    Machine Learning for Astrophysics

    Proceedings of the ML4Astro International Conference 30 May - 1 Jun 2022

    Av Filomena Bufano, Simone Riggi m. fl.

    Häftad, 2024

    1752 kr

    Lägg i varukorg

    This book reviews the state of the art in the exploitation of machine learning techniques for the astrophysics community and gives the reader a complete overview of the field. The contributed chapters allow the reader to easily digest the material through balanced theoretical and numerical methods …