02305oam 2200565 450 991082489980332120210226231817.01-000-79221-81-00-333722-81-003-33722-81-000-79553-51-5231-3892-087-7022-095-6(OCoLC)1163958139(OCoLC)1163532891(CKB)4100000011341003(MiAaPQ)EBC6241954(MiAaPQ)EBC30251860(Au-PeEL)EBL30251860(EXLCZ)99410000001134100320201020d2020 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierApplied data analytics principles and applications /Johnson I. Agbinya1st ed.Gistrup, Denmark :River Publishers,[2020]©20201 online resource (370 pages)River Publishers Series in Signal, Image and Speech ProcessingPrint version: 8770220964 9788770220965 (OCoLC)1097678160 Includes bibliographical references and index.This text provides some of the most sought after techniques in big data analytics. Establishing strong foundations in these topics provides practical ease when big data analyses are undertaken using the widely available open source and commercially orientated computation platforms, languages and visualization systems. The book, when combined with such platforms, provides a complete set of tools required to handle big data and can lead to fast implementations and applications. The book contains a mixture of machine learning foundations, deep learning, artificial intelligence, statistics and evo.River Publishers series in signal, image and speech processing.Big dataData miningQuantitative researchBig data.Data mining.Quantitative research.005.7Agbinya Johnson I.1649673MiAaPQMiAaPQMiAaPQBOOK9910824899803321Applied data analytics4097110UNINA