LEADER 04008nam 2200733 450 001 996308798603316 005 20200520144314.0 010 $a3-11-047776-9 010 $a3-11-047881-1 024 7 $a10.1515/9783110478815 035 $a(CKB)3710000000981745 035 $a(MiAaPQ)EBC4768916 035 $a(DE-B1597)466468 035 $a(OCoLC)979906634 035 $a(OCoLC)980174441 035 $a(DE-B1597)9783110478815 035 $a(Au-PeEL)EBL4768916 035 $a(CaPaEBR)ebr11316737 035 $a(OCoLC)964671392 035 $a(EXLCZ)993710000000981745 100 $a20190116d2016 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aOf gods and books $eritual and knowledge transmission in the manuscript cultures of premodern India /$fFlorinda de Simini 210 1$aBerlin ;$aBoston :$cDe Gruyter,$d[2016] 210 4$dİ2016 215 $a1 online resource (xi, 477 pages) 225 1 $aStudies in manuscript cultures ;$vVolume 8 311 $a3-11-047772-6 320 $aIncludes bibliographical references (pages 443-470) and indexes. 327 $tFrontmatter -- $tContents -- $tPreface -- $t1. Manuscripts, Ritual, and the State in Indian Sources -- $t2. The Task of Writing and the Art of Giving -- $t3. Manuscripts, Ritual, and the Medieval Literature on Dharma -- $t4. The Throne of Knowledge: Aspects of the Cult of the Book in the ?aiva and Vai??ava Tantric Traditions -- $tAppendix 1 -- $tAppendix 2 -- $tTable A: Structure of the Chapters on the Gift of Knowledge in the Sanskrit Law-Digests -- $tReferences -- $tIndex of Authors / $rJoseph, Kristen de -- $tIndex of Works / $rJoseph, Kristen de 330 $aIndia has been the homeland of diverse manuscript traditions that do not cease to impress scholars for their imposing size and complexity. Nevertheless, many topics concerning the study of Indian manuscript cultures still remain to receive systematic examination. Of Gods and Books pays attention to one of these topics - the use of manuscripts as ritualistic tools. Literary sources deal quite extensively with rituals principally focused on manuscripts, whose worship, donation and preservation are duly prescribed. Around these activities, a specific category of ritual gift is created, which finds attestations in pre-tantric, as well as in sm?rta and tantric, literature, and whose practice is also variously reflected in epigraphical documents. De Simini offers a first systematic study of the textual evidence on the topic of the worship and donation of knowledge. She gives account of possible implications for the relationships between religion and power. The book is indsipensible for a deeper understanding of the cultural aspects of manuscript transmission in medieval India, and beyond. 410 0$aStudies in manuscript cultures ;$vVolume 8.$x2365-9696 606 $aHinduism$vSacred books 606 $aHinduism$xRituals$xHistory and criticism 606 $aTantric literature$xHistory and criticism 606 $aManuscripts, Sanskrit$xHistory 606 $aManuscripts, Kannada$xHistory 608 $aElectronic books. 610 $aBook history South-Asia. 610 $aCult of the book. 610 $aHinduism. 610 $aIndia. 610 $aKannada. 610 $aSanskrit. 610 $aritual practices. 615 0$aHinduism 615 0$aHinduism$xRituals$xHistory and criticism. 615 0$aTantric literature$xHistory and criticism. 615 0$aManuscripts, Sanskrit$xHistory. 615 0$aManuscripts, Kannada$xHistory. 676 $a294.5/92 700 $aDe Simini$b Florinda$0183044 702 $aJoseph$b Kristen de, $4ctb$4https://id.loc.gov/vocabulary/relators/ctb 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996308798603316 996 $aOf gods and books$92028875 997 $aUNISA LEADER 04958oam 22004813a 450 001 9911011856703321 005 20240605180711.1 010 $a1-83620-895-2 010 $a1-83620-894-4 035 $a(CaSebORM)9781836208952 035 $a(CKB)32284297000041 035 $a(OCoLC)1436829984 035 $a(OCoLC-P)1436829984 035 $a(FR-PaCSA)88957617 035 $a(FRCYB88957617)88957617 035 $a(EXLCZ)9932284297000041 100 $a20240601d2024 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aBefore Machine Learning$hVolume 1$iLinear Algebra$b[electronic resource] $ea story on fundamental mathematics for A.I. /$fJorge Brasil 210 $aBirmingham $cPackt Publishing, Limited$d2024 215 $a1 online resource (151 p.) 300 $aDescription based upon print version of record. 327 $aIntro -- Contents -- We Start Here -- Why Linear Algebra? -- What Is a Vector? -- Is That a Newborn? Vector Addition -- Wait, Is That Vector on Steroids? Scalar Multiplication -- Where Are You Looking, Vector? The Dot Product -- A Simpler Version of the Universe -- The Vector Space -- But What About a Matrix? -- When a Table Isn't Furniture -- Yoga for Vectors -- Linear Transformations -- Could It Be Love? Matrix and Vector Multiplication -- When It's Not Rude to Ask About Size -- The Determinant -- Let's Go The Other Way Around -- Inverse of a Matrix 327 $aGatherings in Space -- Systems of Linear Equations -- Line Up Vectors! The Eigen Stuff -- I've Got the Power, to Power -- Matrix Diagonalization -- Break Them Down -- Matrix Decomposition -- Me, Myself and I -- The Single Value Decomposition (SVD) -- The Final Stretch -- Principal Component Analysis -- We Did It! -- Blank Page 330 $a"Unlock the essentials of linear algebra to build a strong foundation for machine learning. Dive into vectors, matrices, and principal component analysis with expert guidance in ""Before Machine Learning Volume 1 - Linear Algebra."" Key Features Comprehensive introduction to linear algebra for machine learning Detailed exploration of vectors and matrices In-depth study of principal component analysis (PCA) Book Description In this book, you'll embark on a comprehensive journey through the fundamentals of linear algebra, a critical component for any aspiring machine learning expert. Starting with an introductory overview, the course explains why linear algebra is indispensable for machine learning, setting the stage for deeper exploration. You'll then dive into the concepts of vectors and matrices, understanding their definitions, properties, and practical applications in the field. As you progress, the course takes a closer look at matrix decomposition, breaking down complex matrices into simpler, more manageable forms. This section emphasizes the importance of decomposition techniques in simplifying computations and enhancing data analysis. The final chapter focuses on principal component analysis, a powerful technique for dimensionality reduction that is widely used in machine learning and data science. By the end of the course, you will have a solid grasp of how PCA can be applied to streamline data and improve model performance. This course is designed to provide technical professionals with a thorough understanding of linear algebra's role in machine learning. By the end, you'll be well-equipped with the knowledge and skills needed to apply linear algebra in practical machine learning scenarios. What you will learn Understand the fundamental concepts of vectors and matrices Implement principal component analysis in data reduction Analyze the role of linear algebra in machine learning Enhance problem-solving skills through practical applications Gain the ability to interpret and manipulate high-dimensional data Build confidence in using linear algebra for data science projects Who this book is for This course is ideal for technical professionals, data scientists, aspiring machine learning engineers, and students of computer science or related fields. Additionally, it is beneficial for software developers, engineers, and IT professionals seeking to transition into data science or machine learning roles. A basic understanding of high school-level mathematics is recommended but not required, making it accessible for those looking to build a foundational understanding before diving into more advanced topics.". 606 $aMachine learning 606 $aArtificial intelligence 606 $aAlgebras, Linear 615 0$aMachine learning. 615 0$aArtificial intelligence. 615 0$aAlgebras, Linear. 676 $a006.3/1 700 $aBrasil$b Jorge$01831314 801 0$bOCoLC-P 801 1$bOCoLC-P 906 $aBOOK 912 $a9911011856703321 996 $aBefore Machine Learning$94403492 997 $aUNINA