Bokus

Feryaal Ahmed – författare

Visar alla böcker från författaren Feryaal Ahmed. Handla med fri frakt och snabb leverans.

3 produkter

  1. Syed Ejaz Ahmed, Feryaal Ahmed, Bahadir Yüzbaşı - Post-Shrinkage Strategies in Statistical and Machine Learning for High Dimensional Data, Inbunden. Tillgänglighet: Lägg i varukorg

    Post-Shrinkage Strategies in Statistical and Machine Learning for High Dimensional Data

    Av Syed Ejaz Ahmed, Feryaal Ahmed m. fl.

    Inbunden, 2023

    2131 kr

    Lägg i varukorg

    This book presents some post-estimation and predictions strategies for the host of useful statistical models with applications in data science. It combines statistical learning and machine learning techniques in a unique and optimal way. It is well-known that machine learning methods are subject to …

  2. Bahadir Yuzbasi, Feryaal Ahmed, Syed Ejaz Ahmed - Post-Shrinkage Strategies in Statistical and Machine Learning for High Dimensional Data, E-bok. Tillgänglighet: Lägg i varukorg

    Post-Shrinkage Strategies in Statistical and Machine Learning for High Dimensional Data

    Av Bahadir Yuzbasi, Feryaal Ahmed m. fl.

    E-bok, 2023

    1022 kr

    Lägg i varukorg

    This book presents some post-estimation and predictions strategies for the host of useful statistical models with applications in data science. It combines statistical learning and machine learning techniques in a unique and optimal way. It is well-known that machine learning methods are subject to …

  3. Bahadir Yuzbasi, Feryaal Ahmed, Syed Ejaz Ahmed - Post-Shrinkage Strategies in Statistical and Machine Learning for High Dimensional Data, E-bok. Tillgänglighet: Lägg i varukorg

    Post-Shrinkage Strategies in Statistical and Machine Learning for High Dimensional Data

    Av Bahadir Yuzbasi, Feryaal Ahmed m. fl.

    E-bok, 2023

    1000 kr

    Lägg i varukorg

    This book presents some post-estimation and predictions strategies for the host of useful statistical models with applications in data science. It combines statistical learning and machine learning techniques in a unique and optimal way. It is well-known that machine learning methods are subject to …