LEADER 05350nam 22006971 450 001 9910788939203321 005 20230912153559.0 010 $a1-118-83986-2 010 $a1-118-66148-6 035 $a(CKB)3710000000057606 035 $a(EBL)1527439 035 $a(OCoLC)862611724 035 $a(SSID)ssj0001155641 035 $a(PQKBManifestationID)11618739 035 $a(PQKBTitleCode)TC0001155641 035 $a(PQKBWorkID)11187821 035 $a(PQKB)11289045 035 $a(Au-PeEL)EBL1527439 035 $a(CaPaEBR)ebr10799629 035 $a(CaONFJC)MIL576406 035 $a(Au-PeEL)EBL7147356 035 $a(CaSebORM)9781118661468 035 $a(MiAaPQ)EBC1527439 035 $a(MiAaPQ)EBC7147356 035 $a(EXLCZ)993710000000057606 100 $a20131107h20142014 uy 0 101 0 $aeng 135 $aurunu||||| 181 $ctxt 182 $cc 183 $acr 200 10$aData smart $eusing data science to transform information into insight /$fJohn W. Foreman 205 $a1st ed. 210 1$aIndianapolis :$cWiley,$d[2014] 210 4$dİ2014 215 $a1 online resource (434 p.) 300 $aDescription based upon print version of record. 311 0 $aprint version 9781118661468 320 $aIncludes bibliographical references and index. 327 $aCover; Title Page; Copyright; Contents; Chapter 1 Everything You Ever Needed to Know about Spreadsheets but Were Too Afraid to Ask; Some Sample Data; Moving Quickly with the Control Button; Copying Formulas and Data Quickly; Formatting Cells; Paste Special Values; Inserting Charts; Locating the Find and Replace Menus; Formulas for Locating and Pulling Values; Using VLOOKUP to Merge Data; Filtering and Sorting; Using PivotTables; Using Array Formulas; Solving Stuff with Solver; OpenSolver: I Wish We Didn't Need This, but We Do; Wrapping Up 327 $aChapter 2 Cluster Analysis Part I: Using K-Means to Segment Your Customer Base Girls Dance with Girls, Boys Scratch Their Elbows; Getting Real: K-Means Clustering Subscribers in E-mail Marketing; Joey Bag O' Donuts Wholesale Wine Emporium; The Initial Dataset; Determining What to Measure; Start with Four Clusters; Euclidean Distance: Measuring Distances as the Crow Flies; Distances and Cluster Assignments for Everybody!; Solving for the Cluster Centers; Making Sense of the Results; Getting the Top Deals by Cluster; The Silhouette: A Good Way to Let Different K Values Duke It Out 327 $aHow about Five Clusters? Solving for Five Clusters; Getting the Top Deals for All Five Clusters; Computing the Silhouette for 5-Means Clustering; K-Medians Clustering and Asymmetric Distance Measurements; Using K-Medians Clustering; Getting a More Appropriate Distance Metric; Putting It All in Excel; The Top Deals for the 5-Medians Clusters; Wrapping Up; Chapter 3 Naive Bayes and the Incredible Lightness of Being an Idiot; When You Name a Product Mandrill, You're Going to Get Some Signal and Some Noise; The World's Fastest Intro to Probability Theory; Totaling Conditional Probabilities 327 $aJoint Probability, the Chain Rule, and Independence What Happens in a Dependent Situation?; Bayes Rule; Using Bayes Rule to Create an AI Model; High-Level Class Probabilities Are Often Assumed to Be Equal; A Couple More Odds and Ends; Let's Get This Excel Party Started; Removing Extraneous Punctuation; Splitting on Spaces; Counting Tokens and Calculating Probabilities; And We Have a Model! Let's Use It; Wrapping Up; Chapter 4 Optimization Modeling: Because That "Fresh Squeezed" Orange Juice Ain't Gonna Blend Itself; Why Should Data Scientists Know Optimization? 327 $aStarting with a Simple Trade-Off Representing the Problem as a Polytope; Solving by Sliding the Level Set; The Simplex Method: Rooting around the Corners; Working in Excel; There's a Monster at the End of This Chapter; Fresh from the Grove to Your Glass...with a Pit Stop Through a Blending Model; You Use a Blending Model; Let's Start with Some Specs; Coming Back to Consistency; Putting the Data into Excel; Setting Up the Problem in Solver; Lowering Your Standards; Dead Squirrel Removal: The Minimax Formulation; If-Then and the "Big M" Constraint 327 $aMultiplying Variables: Cranking Up the Volume to 11 330 $aData Science gets thrown around in the press like it's magic. Major retailers are predicting everything from when their customers are pregnant to when they want a new pair of Chuck Taylors. It's a brave new world where seemingly meaningless data can be transformed into valuable insight to drive smart business decisions. But how does one exactly do data science? Do you have to hire one of these priests of the dark arts, the ""data scientist,"" to extract this gold from your data? Nope. Data science is little more than using straight-forward steps to process raw data into actionable insight. 606 $aData mining 606 $aWeb sites$xDesign 606 $aWeb usage mining 615 0$aData mining. 615 0$aWeb sites$xDesign. 615 0$aWeb usage mining. 676 $a006.312 700 $aForeman$b John W.$091588 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910788939203321 996 $aData smart$93776356 997 $aUNINA LEADER 04016nam 22007214a 450 001 9910785058103321 005 20230207213520.0 010 $a0-8135-4867-5 024 7 $a10.36019/9780813548678 035 $a(CKB)2670000000029926 035 $a(EBL)896364 035 $a(OCoLC)647880050 035 $a(SSID)ssj0000431857 035 $a(PQKBManifestationID)11301739 035 $a(PQKBTitleCode)TC0000431857 035 $a(PQKBWorkID)10476060 035 $a(PQKB)11626393 035 $a(MdBmJHUP)muse8022 035 $a(DE-B1597)529560 035 $a(DE-B1597)9780813548678 035 $a(Au-PeEL)EBL896364 035 $a(CaPaEBR)ebr10367267 035 $a(OCoLC)1156841026 035 $a(MiAaPQ)EBC896364 035 $a(EXLCZ)992670000000029926 100 $a20080709d2009 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aAsian America$b[electronic resource] $eforming new communities, expanding boundaries /$fedited by Huping Ling 210 $aNew Brunswick, NJ $cRutgers University Press$dc2009 215 $a1 online resource (304 p.) 300 $aDescription based upon print version of record. 311 $a0-8135-4487-4 311 $a0-8135-4486-6 320 $aIncludes bibliographical references and index. 327 $aIntra-group diversity : Asian American population dynamics and challenges of the 21st century / Min Zhou -- Ethnic solidarity, networks rebound and transnational culture : post-1965 Chinese American family / Haiming Liu -- Beyond a common ethnicity and culture : conflict and compromises in Chicagoland's Chinese American communities since 1945 / Ling Z. Arenson -- Transforming an ethnic community : Little Saigon, Orange County / Linda Trinh Vo -- Building a community center : Filipinas/os in San Francisco's Excelsior neighborhood / Allyson Tintiangco-Cubales -- Cultural community : a new model for Asian American community / Huping Ling -- Chinese week : building Chinese American community through festivity in metropolitan Phoenix / Wei Zeng and Wei Li -- Virtual community, transnational connection, and the changing cultural imaginary of Chinese Americans / Yuan Shu -- Ethnic solidarity in a divided community : a study on bridging organizations in Koreatown / Angie Y. Chung -- The social construction of Chinese in Canada / Peter S. Li -- Recent mainland Chinese immigrants in Canada : trends and obstacles / Li Zong. 330 $aThe last half century witnessed a dramatic change in the geographic, ethnographic, and socioeconomic structure of Asian American communities. While traditional enclaves were strengthened by waves of recent immigrants, native-born Asian Americans also created new urban and suburban areas. Asian America is the first comprehensive look at post-1960s Asian American communities in the United States and Canada. Contributors from an array of academic fields focus on global views of Asian American communities as well as on territorial and cultural boundaries. 606 $aAsian Americans$xHistory 606 $aAsian Americans$xSocial conditions 606 $aAsian Americans$xCultural assimilation$zUnited States 606 $aAsian Americans$xSocieties, etc 606 $aAsian American neighborhoods$xHistory 606 $aCommunity life$zUnited States$xHistory 607 $aUnited States$xEthnic relations 607 $aUnited States$xSocial conditions 615 0$aAsian Americans$xHistory. 615 0$aAsian Americans$xSocial conditions. 615 0$aAsian Americans$xCultural assimilation 615 0$aAsian Americans$xSocieties, etc. 615 0$aAsian American neighborhoods$xHistory. 615 0$aCommunity life$xHistory. 676 $a973/.0495 701 $aLing$b Huping$f1956-$01122588 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910785058103321 996 $aAsian America$93787089 997 $aUNINA