LEADER 03584nam 22007453 450 001 9911019092103321 005 20250428200915.0 010 $a9781394234523 010 $a139423452X 010 $a9781394234509 010 $a1394234503 010 $a9781394234516 010 $a1394234511 024 7 $a10.1002/9781394234523 035 $a(CKB)36431163600041 035 $a(MiAaPQ)EBC31743940 035 $a(Au-PeEL)EBL31743940 035 $a(CaSebORM)9781394234493 035 $a(OCoLC)1463561582 035 $a(OCoLC-P)1463561582 035 $a(EXLCZ)9936431163600041 100 $a20241101h20252025 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 14$aThe data science handbook /$fField Cady 205 $a2nd edition 210 1$aNewark :$cJohn Wiley & Sons, Incorporated,$d[2025] 210 4$d©2025 215 $a1 online resource (xix, 347 pages) $cillustrations (some color) 311 08$a9781394234493 311 08$a139423449X 320 $aIncludes bibliographical references and index. 327 $aIntroduction -- The Data Science Road Map -- Programming Languages -- Data Munging: String Manipulation, Regular Expressions, and Data Cleaning -- Visualizations and Simple Metrics -- AI and Machine Learning Overview -- Interlude: Feature Extraction Ideas -- Machine Learning Classification -- Technical Communication and Documentation -- Unsupervised Learning: Clustering and Dimensionality Reduction -- Regression -- Data Encodings and File Formats -- Big Data -- Databases -- Software Engineering Best Practices -- Traditional Natural Language Processing -- Time Series Analysis -- Probability -- Statistics -- Programming Language Concepts -- Performance and Computer Memory -- Computer Memory and Data Structures -- Maximum Likelihood Estimation and Optimization -- Deep Learning and AI -- Stochastic Modeling -- Parting Words: Your Future as a Data Scientist. 330 $a"The goal of this book is to turn you into a data scientist, and there are two parts to this mission. Firstly there is a set of specific concepts, tools and techniques that you can go out and solve problems with today. They include buzzwords such machine learning, Spark and NLP. They also include concepts that are distinctly less sexy but often more useful, like regular expressions, unit tests and SQL queries. It would be impossible to give an exhaustive list in any single book, but I cast a wide net"--$cProvided by publisher. 606 $aDatabases$vHandbooks, manuals, etc 606 $aStatistics$xData processing$vHandbooks, manuals, etc 606 $aBig data$vHandbooks, manuals, etc 606 $aInformation theory$vHandbooks, manuals, etc 606 $aBases de dades$2thub 606 $aDades massives$2thub 606 $aTeoria de la informació$2thub 606 $aEstadística$2thub 606 $aProcessament de dades$2thub 608 $aLlibres electrònics$2thub 615 0$aDatabases 615 0$aStatistics$xData processing 615 0$aBig data 615 0$aInformation theory 615 7$aBases de dades 615 7$aDades massives 615 7$aTeoria de la informació 615 7$aEstadística 615 7$aProcessament de dades 676 $a005.74 700 $aCady$b Field$f1984-$0905821 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911019092103321 996 $aThe data science handbook$92916081 997 $aUNINA