01393nam 2200397 a 450 991069869120332120081215133501.0(CKB)4970000000041916(OCoLC)285410528(EXLCZ)99497000000004191620081215d2008 ua 0engurmn|||||||||txtrdacontentcrdamediacrrdacarrierMineral revenues[electronic resource] data management problems and reliance on self-reported data for compliance efforts put MMS royalty collections at riskWashington, DC :U.S. Govt. Accountability Office,[2008]18 pages digital, PDF fileTitle from title screen (viewed on Nov. 19, 2008).Authors: Frank Rusco, Jeanette Franzel."September 12, 2008.""GAO-08-893R."Includes bibliographical references.Mineral RevenuesMines and mineral resourcesUnited StatesMines and mineral resourcesRusco F. W(Frank W.)1386164Franzel Jeanette M1380812United States.Government Accountability Office.GPOGPODOCUMENT9910698691203321Mineral revenues3535293UNINA01152nam0 22002773i 450 VAN026212120230728085131.373978-88-386-5495-420230728d2022 |0itac50 baitaIT|||| |||||Python e machine learningAlessandro Bellini, Andrea GuidiMilanoMcGraw-Hill2022XIX, 331 p.ill.24 cmMilanoVANL000284BelliniAlessandro1983- VANV21657766787GuidiAndreaVANV21657862847McGraw Hill <editore>VANV108035650ITSOL20240503RICAhttps://www.mheducation.it/python-e-machine-learning-1-ed-9788838654954-italyhttps://www.mheducation.it/python-e-machine-learning-1-ed-9788838654954-italyBIBLIOTECA DEL DIPARTIMENTO DI INGEGNERIAIT-CE0100VAN05VAN0262121BIBLIOTECA DEL DIPARTIMENTO DI INGEGNERIA05PREST E 318 05UBI1823 20230728 BuonoPython e machine learning2864155UNICAMPANIA