LEADER 01934nam 22004814a 450 001 9910735593603321 005 20230617040333.0 010 $a0-8101-6232-6 035 $a(CKB)1000000000720836 035 $a(EBL)3383519 035 $a(SSID)ssj0000273209 035 $a(PQKBManifestationID)12105405 035 $a(PQKBTitleCode)TC0000273209 035 $a(PQKBWorkID)10313330 035 $a(PQKB)10040088 035 $a(MiAaPQ)EBC3383519 035 $a(EXLCZ)991000000000720836 100 $a20050629d2005 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aWomen and the press$b[electronic resource] $ethe struggle for equality /$fPatricia Bradley ; foreword by Gail Collins 210 $aEvanston, Ill. $cNorthwestern University Press$d2005 215 $a1 online resource (383 p.) 225 1 $aVisions of the American press 300 $aDescription based upon print version of record. 311 $a0-8101-2313-4 320 $aIncludes bibliographical references (p. 313-329) and index. 327 $a""Contents""; ""Foreword""; ""Preface""; ""1. a???Are Not Women Born as Free as Men?a???""; ""2. The Rise of the Professional Writer""; ""3. The Legacy of Reform""; ""4. The Strains on Sisterhood""; ""5. Domesticity and All Its Imperatives""; ""6. Negotiating the Newsroom""; ""7. Negotiating the Nation""; ""8. Finding a Place""; ""9. The Second Wave""; ""10. Making a Difference""; ""Notes""; ""Bibliography""; ""Index"" 410 0$aVisions of the American press. 606 $aWomen in journalism$zUnited States$xHistory 615 0$aWomen in journalism$xHistory. 676 $a071 700 $aBradley$b Patricia$f1941-$01178153 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910735593603321 996 $aWomen and the press$93419005 997 $aUNINA LEADER 03821nam 22004693 450 001 9911009255403321 005 20240627080225.0 010 $a9788555193798$b(electronic bk.) 010 $z9788555193804 035 $a(MiAaPQ)EBC31502045 035 $a(Au-PeEL)EBL31502045 035 $a(CKB)32460319800041 035 $a(OCoLC)1443085768 035 $a(Exl-AI)31502045 035 $a(EXLCZ)9932460319800041 100 $a20240627d2024 uy 0 101 0 $apor 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aIntrodução à Estatística para Ciência de Dados $eDa Exploração Dos Dados à Experimentação Contínua Com Exemplos de Código Em Python e R 205 $a1st ed. 210 1$aSão Paulo :$cCasa do Código,$d2024. 210 4$d©2024. 215 $a1 online resource (97 pages) 311 08$aPrint version: Escovedo, Tatiana Introdução à Estatística para Ciência de Dados São Paulo : Casa do Código,c2024 9788555193804 327 $aISBN -- Sobre o livro -- Sobre os autores -- Introdução -- 1.1 Por que estudar Estatística para Ciência de Dados? -- 1.2 Conceitos fundamentais -- 1.3 Estatística e Ciência de Dados -- Estatística Descritiva: Conceitos básicos, tipos de variáveis e gráficos -- 2.1 Conceitos básicos -- 2.2 Variáveis e tipos de variáveis -- 2.3 Gráficos adequados a cada tipo de variável -- 2.4 Correlação -- Estatística Descritiva: Medidas de tendência central e de dispersão -- 3.1 Medidas de tendência central -- 3.2 Medidas de dispersão -- 3.3 Boxplot, ou diagrama de caixas -- 3.4 Resumo -- Cálculo das Probabilidades: Conceitos e fundamentos -- 4.1 Conceitos fundamentais em probabilidade -- 4.2 Axiomas de probabilidade de Kolmogorov -- 4.3 Atribuição das probabilidades -- Cálculo das Probabilidades: Distribuições de probabilidade discretas e contínuas -- 5.1 Distribuições de probabilidade discretas -- 5.2 Distribuições de probabilidade contínuas -- Inferência Estatística: Noções de amostragem e reamostragem -- 6.1 Teorema central do limite -- 6.2 Tipos de amostragem casuais/probabilísticas -- 6.3 Tipos de amostragem não casuais/não probabilísticas -- 6.4 Reamostragem -- 6.5 Intervalos de confiança$7Generated by AI. 330 $aThis book is an introductory guide to statistics for data science, aimed at professionals and students in the field. It seeks to simplify the often complex mathematical and technical concepts found in existing literature, making them accessible to beginners, especially those whose mathematical foundation might not be strong. The book uses a layered 'onion learning' approach, offering a general overview before delving into more detailed topics. It covers key concepts in descriptive statistics, probability, and statistical inference, with practical examples in Python and R. The authors aim to equip data scientists with essential statistical knowledge for tasks like exploratory data analysis and machine learning, without being exhaustive. The book is written in Portuguese to cater to readers who prefer or find it easier to understand their native language. It assumes a basic understanding of programming logic and familiarity with Python and R.$7Generated by AI. 606 $aStatistics$7Generated by AI 606 $aMachine learning$7Generated by AI 615 0$aStatistics 615 0$aMachine learning 700 $aEscovedo$b Tatiana$01826830 701 $aKalinowski$b Marcos$01781168 701 $aMarques$b Thiago$01826831 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9911009255403321 996 $aIntrodução à Estatística para Ciência de Dados$94394829 997 $aUNINA LEADER 03171nam 2200685 a 450 001 9910970020703321 005 20200520144314.0 010 $a9780231500777 010 $a0231500777 024 7 $a10.7312/cart12552 035 $a(CKB)111056485391300 035 $a(EBL)909196 035 $a(OCoLC)831121210 035 $a(SSID)ssj0000186687 035 $a(PQKBManifestationID)11178261 035 $a(PQKBTitleCode)TC0000186687 035 $a(PQKBWorkID)10252772 035 $a(PQKB)11587027 035 $a(DE-B1597)458720 035 $a(OCoLC)979682855 035 $a(DE-B1597)9780231500777 035 $a(Au-PeEL)EBL909196 035 $a(CaPaEBR)ebr10183449 035 $a(CaONFJC)MIL814393 035 $a(MiAaPQ)EBC909196 035 $a(MiAaPQ)EBC31756523 035 $a(Au-PeEL)EBL31756523 035 $a(Perlego)775764 035 $a(EXLCZ)99111056485391300 100 $a20020501d2003 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aJust living $epoems and prose by the Japanese monk Tonna /$fedited and translated by Steven D. Carter 205 $a1st ed. 210 $aNew York $cColumbia University Press$dc2003 215 $a1 online resource (227 pages) 225 1 $aTranslations from the Asian classics 300 $aIncludes bibliographical references and index. 311 0 $a9780231125536 311 0 $a0231125534 311 0 $a9780231125529 311 0 $a0231125526 327 $tFront matter --$tContents --$tAcknowledgments --$tIntroduction --$tTHE POEMS --$tFROM A FROG AT THE BOTTOM OF A WELL. Selections --$tGlossary of Important Names and Places --$tSources of the Poems --$tIndex of First Lines --$tBackmatter 330 $aThe medieval Buddhist poet-monk Tonna (1289-1372) was regarded as the leading poet of his day and a prominent scholar and critic. Despite his commoner status, he was assigned the task of acting as compiler for an imperial anthology of poetry and counted a number of prominent courtiers among his students and patrons. And yet his works, which remained required reading for virtually all serious poets in Japan for five hundred years after his death, have until recently received little scholarly attention in either Japan or the West. This anthology contains translations of 134 of Tonna's uta (the classical poetic form) and 16 linked verse couplets (renga) from his Grass Hut Collection and selections from a work of prose criticism, From a Frog at the Bottom of a Well, along with an introduction and explanatory notes, a glossary of important names and places, and a list of sources for the poems. 410 0$aTranslations from the Asian classics. 606 $aLITERARY COLLECTIONS / Asian / Japanese$2bisacsh 615 7$aLITERARY COLLECTIONS / Asian / Japanese. 676 $a895.6/122 700 $aTona$f1289?-1372?$01857070 701 $aCarter$b Steven D$0672530 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910970020703321 996 $aJust living$94457714 997 $aUNINA