LEADER 01483nam 2200397Ia 450 001 996389030203316 005 20221108085638.0 035 $a(CKB)1000000000635799 035 $a(EEBO)2240898606 035 $a(OCoLC)52528989 035 $a(EXLCZ)991000000000635799 100 $a20030701d1694 uy 0 101 0 $aeng 135 $aurbn||||a|bb| 200 12$aA proclamation$b[electronic resource] $efor rouping the rests of the hearth-money 210 $aEdinburgh $cPrinted by the heirs of Andrew Anderson, Printer to their most excellent Majesties$dAnno Dom. 1694 215 $a1 sheet ([1] p.) 300 $aCaption title. 300 $aRoyal arms at head of text; initial letter. 300 $aIntentional blank spaces in text. 300 $aDated: Given under Our Signet at Edinburgh, the twelfth day of July. And of Our Reign the sixth year, 1694. 300 $aSigned: Gilb. Eliot, Cls. Sti. Concilii. 300 $aReproduction of the original in the National Library of Scotland. 330 $aeebo-0097 606 $aHearth-money$zScotland$vEarly works to 1800 606 $aTax collection$zScotland$vEarly works to 1800 608 $aBroadsides$zScotland$y17th century.$2rbgenr 615 0$aHearth-money 615 0$aTax collection 712 02$aScotland.$bSovereign (1689-1694 : William and Mary) 801 0$bEAE 801 1$bEAE 906 $aBOOK 912 $a996389030203316 996 $aA proclamation$92297536 997 $aUNISA LEADER 03726nam 2200421 450 001 9910155155703321 005 20170110115643.0 010 $a1-78439-884-5 035 $a(CKB)3710000000973058 035 $a(MiAaPQ)EBC4765904 035 $a(CaSebORM)9781784397692 035 $a(PPN)220202532 035 $a(EXLCZ)993710000000973058 100 $a20170228h20162016 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aMastering Tableau $emaster the intricacies of Tableau to create effective data visualizations /$fDavid Baldwin 205 $a1st edition 210 1$aBirmingham, England ;$aMumbai, [India] :$cPackt,$d2016. 210 4$dİ2016 215 $a1 online resource (464 pages) 300 $aIncludes index. 311 $a1-78439-769-5 330 $aMaster the intricacies of Tableau to create effective data visualizations About This Book Arm yourself with an arsenal of advanced chart types and geocoding to efficiently and engagingly present information Map a grid over a network node diagram and use that grid to demonstrate loads, processing time, and more in Tableau Integrate R with Tableau by utilizing R functions, libraries, and saved models Who This Book Is For If you are a business analyst without developer-level programming skills, then this book is for you. You are expected to have at least a fundamental understanding of Tableau and basic knowledge of joins, however SQL knowledge is not assumed. You should have basic computer skills, including at least moderate Excel proficiency. What You Will Learn Create a worksheet that can display the current balance for any given period in time Recreate a star schema from in a data warehouse in Tableau Combine level of detail calculations with table calculations, sets, and parameters Create custom polygons to build filled maps for area codes in the USA Visualize data using a set of analytical and advanced charting techniques Know when to use Tableau instead of PowerPoint Build a dashboard and export it to PowerPoint In Detail Tableau has emerged as one of the most popular Business Intelligence solutions in recent times, thanks to its powerful and interactive data visualization capabilities. This book will empower you to become a master in Tableau by exploiting the many new features introduced in Tableau 10.0. You will embark on this exciting journey by getting to know the valuable methods of utilizing advanced calculations to solve complex problems. These techniques include creative use of different types of calculations such as row-level, aggregate-level, and more. You will discover how almost any data visualization challenge can be met in Tableau by getting a proper understanding of the tool?s inner workings and creatively exploring possibilities. You?ll be armed with an arsenal of advanced chart types and techniques to enable you to efficiently and engagingly present information to a variety of audiences through the use of clear, efficient, and engaging dashboards. Explanations and examples of efficient and inefficient visualization techniques, well-designed and poorly designed dashboards, and compromise options when Tableau consumers will not embrace data visualization will build on your understanding of Tableau and how to use it efficientl... 606 $aInformation visualization$xComputer programs 615 0$aInformation visualization$xComputer programs. 676 $a006.312 700 $aBaldwin$b David$0924312 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910155155703321 996 $aMastering Tableau$92868455 997 $aUNINA LEADER 04297nam 22006375 450 001 9910744508303321 005 20251009082300.0 010 $z9783031391798$b(print) 010 $z3031391799$b(print) 010 $a9783031391798 010 $a3031391799 024 7 $a10.1007/978-3-031-39179-8 035 $a(MiAaPQ)EBC30742315 035 $a(Au-PeEL)EBL30742315 035 $a(OCoLC)1397575687 035 $a(DE-He213)978-3-031-39179-8 035 $a(PPN)272736333 035 $a(CKB)28222999100041 035 $a(EXLCZ)9928222999100041 100 $a20230913d2023 u| 0 101 0 $aeng 135 $aur|n#|||a|||a 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aNeuro Symbolic Reasoning and Learning /$fby Paulo Shakarian, Chitta Baral, Gerardo I. Simari, Bowen Xi, Lahari Pokala 205 $a1st ed. 2023. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2023. 215 $a1 online resource (xii, 119 pages) $cillustrations 225 1 $aSpringerBriefs in Computer Science,$x2191-5776 311 08$aPrint version: Shakarian, Paulo Neuro Symbolic Reasoning and Learning Cham : Springer,c2023 9783031391781 320 $aIncludes bibliographical references. 327 $aChapter1 New Ideas in Neuro Symbolic Reasoning and Learning -- Chapter2 Brief Introduction to Propositional Logic and Predicate Calculus -- Chapter3 Fuzzy and Annotated Logic for Neuro Symbolic Artificial Intelligence -- Chapter4 LTN: Logic Tensor Networks -- Chapter5 Neuro Symbolic Reasoning with Ontological Networks -- Chapter6 LNN: Logical Neural Networks -- Chapter7 NeurASP -- Chapter8 Neuro Symbolic Learning with Differentiable Inductive Logic Programming -- Chapter9 Understanding SATNet: Constraint Learning and Symbol Grounding -- Chapter10 Neuro Symbolic AI for Sequential Decision Making -- Chapter11 Neuro Symbolic Applications. 330 $aThis book provides a broad overview of the key results and frameworks for various NSAI tasks as well as discussing important application areas. This book also covers neuro symbolic reasoning frameworks such as LNN, LTN, and NeurASP and learning frameworks. This would include differential inductive logic programming, constraint learning and deep symbolic policy learning. Additionally, application areas such a visual question answering and natural language processing are discussed as well as topics such as verification of neural networks and symbol grounding. Detailed algorithmic descriptions, example logic programs, and an online supplement that includes instructional videos and slides provide thorough but concise coverage of this important area of AI. Neuro symbolic artificial intelligence (NSAI) encompasses the combination of deep neural networks with symbolic logic for reasoning and learning tasks. NSAI frameworks are now capable of embedding priorknowledge in deep learning architectures, guiding the learning process with logical constraints, providing symbolic explainability, and using gradient-based approaches to learn logical statements. Several approaches are seeing usage in various application areas. This book is designed for researchers and advanced-level students trying to understand the current landscape of NSAI research as well as those looking to apply NSAI research in areas such as natural language processing and visual question answering. Practitioners who specialize in employing machine learning and AI systems for operational use will find this book useful as well. 410 0$aSpringerBriefs in Computer Science,$x2191-5776 606 $aArtificial intelligence 606 $aMachine learning 606 $aArtificial Intelligence 606 $aMachine Learning 615 0$aArtificial intelligence. 615 0$aMachine learning. 615 14$aArtificial Intelligence. 615 24$aMachine Learning. 676 $a006.31 700 $aShakarian$b Paulo$0791399 702 $aBaral$b Chitta 702 $aSimari$b Gerardo I. 702 $aXi$b Bowen 702 $aPokala$b Lahari 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910744508303321 996 $aNeuro symbolic reasoning and learning$93659084 997 $aUNINA