LEADER 03262nam 2200721Ia 450 001 9910456872803321 005 20200520144314.0 010 $a1-317-14311-6 010 $a1-317-14310-8 010 $a1-282-45430-7 010 $a9786612454301 010 $a0-7546-9784-3 035 $a(CKB)2550000000005718 035 $a(EBL)476409 035 $a(OCoLC)609853063 035 $a(SSID)ssj0000359410 035 $a(PQKBManifestationID)12088161 035 $a(PQKBTitleCode)TC0000359410 035 $a(PQKBWorkID)10316895 035 $a(PQKB)10496654 035 $a(MiAaPQ)EBC476409 035 $a(MiAaPQ)EBC5293609 035 $a(PPN)158030214 035 $a(Au-PeEL)EBL476409 035 $a(CaPaEBR)ebr10362154 035 $a(CaONFJC)MIL922644 035 $a(Au-PeEL)EBL5293609 035 $a(CaONFJC)MIL245430 035 $a(OCoLC)647855472 035 $a(EXLCZ)992550000000005718 100 $a20090515d2010 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aEnglish fictions of communal identity, 1485-1603$b[electronic resource] /$fJoshua Phillips 210 $aBurlington, VT $cAshgate$d2010 215 $a1 online resource (269 p.) 300 $aDescription based upon print version of record. 311 $a0-7546-6598-4 320 $aIncludes bibliographical references and index. 327 $aCover; Contents; Acknowledgments; Introduction: The Violence of Singularity; Part I: Belonging and Belongings; 1 The Caxtonian Imaginary: Knights and the Dreams of the Abbey-Lubbers; 2 Staking Claims to Utopia: Thomas More, Prose Fiction, and the Matter of Belonging; Part II: Knowing Together, Laboring Together; 3 William Baldwin and Communities of Fiction; 4 Anthony Munday, Romance, and the Production of Collective Selves; Part III: Broken Music: Re-imagining Collective Subjectivity; 5 Hoc Opus, Hic Labor Est: Sir Philip Sidney and the Work of Shame 327 $a6 Thomas Nashe, Thy Unworthy Speaker to the WorldConclusion: A Piece of the Main; Bibliography; Index 330 $aFocusing on Tudor prose fiction from Malory's Morte D'Arthur through the works of Sir Philip Sidney and Thomas Nashe, this study explores the concept of ""collective agency"" and the extensive impact it had on English Renaissance culture. Ultimately, author Joshua Phillips challenges standard accounts of literary history and periodization to offer a new way of theorizing the relation between collaboration and identity. 606 $aEnglish fiction$yMiddle English, 1100-1500$xHistory and criticism 606 $aEnglish fiction$yEarly modern, 1500-1700$xHistory and criticism 606 $aGroup identity in literature 608 $aElectronic books. 615 0$aEnglish fiction$xHistory and criticism. 615 0$aEnglish fiction$xHistory and criticism. 615 0$aGroup identity in literature. 676 $a823.209 676 $a823.3093552 676 $a823/.2/09 700 $aPhillips$b Joshua$0969244 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910456872803321 996 $aEnglish fictions of communal identity, 1485-1603$92202332 997 $aUNINA LEADER 03870nam 2200469 450 001 9910156183203321 005 20170119084923.0 010 $a1-78588-892-7 035 $a(CKB)3710000000985370 035 $a(MiAaPQ)EBC4771730 035 $a(CaSebORM)9781785887918 035 $a(PPN)220202796 035 $a(EXLCZ)993710000000985370 100 $a20170301h20162016 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aPrinciples of data science $elearn the techniques and math you need to start making sense of your data /$fSinan Ozdemir 205 $a1st edition 210 1$aBirmingham, England ;$aMumbai, India :$cPackt Publishing,$d2016. 210 4$dİ2016 215 $a1 online resource (389 pages) 300 $aIncludes index. 311 $a1-78588-791-2 330 $aLearn the techniques and math you need to start making sense of your data About This Book Enhance your knowledge of coding with data science theory for practical insight into data science and analysis More than just a math class, learn how to perform real-world data science tasks with R and Python Create actionable insights and transform raw data into tangible value Who This Book Is For You should be fairly well acquainted with basic algebra and should feel comfortable reading snippets of R/Python as well as pseudo code. You should have the urge to learn and apply the techniques put forth in this book on either your own data sets or those provided to you. If you have the basic math skills but want to apply them in data science or you have good programming skills but lack math, then this book is for you. What You Will Learn Get to know the five most important steps of data science Use your data intelligently and learn how to handle it with care Bridge the gap between mathematics and programming Learn about probability, calculus, and how to use statistical models to control and clean your data and drive actionable results Build and evaluate baseline machine learning models Explore the most effective metrics to determine the success of your machine learning models Create data visualizations that communicate actionable insights Read and apply machine learning concepts to your problems and make actual predictions In Detail Need to turn your skills at programming into effective data science skills? Principles of Data Science is created to help you join the dots between mathematics, programming, and business analysis. With this book, you?ll feel confident about asking?and answering?complex and sophisticated questions of your data to move from abstract and raw statistics to actionable ideas. With a unique approach that bridges the gap between mathematics and computer science, this books takes you through the entire data science pipeline. Beginning with cleaning and preparing data, and effective data mining strategies and techniques, you?ll move on to build a comprehensive picture of how every piece of the data science puzzle fits together. Learn the fundamentals of computational mathematics and statistics, as well as some pseudocode being used today by data scientists and analysts. You?ll get to grips with machine learning, discover the statistical models that help you take control and navigate even the densest datasets, and find out how to create pow... 606 $aDatabase management 606 $aData structures (Computer science) 606 $aData mining 615 0$aDatabase management. 615 0$aData structures (Computer science) 615 0$aData mining. 676 $a005.7565 700 $aOzdemir$b Sinan$01209156 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910156183203321 996 $aPrinciples of Data science$92789929 997 $aUNINA