LEADER 06215nam 22008175 450 001 9910619273603321 005 20240108161549.0 010 $a9783031146343$b(electronic bk.) 010 $z9783031146336 024 7 $a10.1007/978-3-031-14634-3 035 $a(MiAaPQ)EBC7118634 035 $a(Au-PeEL)EBL7118634 035 $a(CKB)25171057000041 035 $a(DE-He213)978-3-031-14634-3 035 $a(EXLCZ)9925171057000041 100 $a20221017d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aData Analysis with Machine Learning for Psychologists $eCrash Course to Learn Python 3 and Machine Learning in 10 hours /$fby Chandril Ghosh 205 $a1st ed. 2022. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2022. 215 $a1 online resource (169 pages) 311 08$aPrint version: Ghosh, Chandril Data Analysis with Machine Learning for Psychologists Cham : Springer International Publishing AG,c2022 9783031146336 320 $aIncludes bibliographical references and index. 327 $aIntroduction -- Step 1:Python Programming -- Step 2:Data Pre-Processing -- Step 3: Data Analysis with Machine Learning -- End Note. Python Programming -- Step 2:Data Pre-Processing -- Step 3: Data Analysis with Machine Learning -- End Note. Python Programming -- Step 2:Data Pre-Processing -- Step 3: Data Analysis with Machine Learning -- End Note. Python Programming -- Step 2:Data Pre-Processing -- Step 3: Data Analysis with Machine Learning -- End Note. Python Programming -- Step 2:Data Pre-Processing -- Step 3: Data Analysis with Machine Learning -- End Note. Python Programming -- Step 2:Data Pre-Processing -- Step 3: Data Analysis with Machine Learning -- End Note. Python Programming -- Step 2:Data Pre-Processing -- Step 3: Data Analysis with Machine Learning -- End Note. Python Programming -- Step 2:Data Pre-Processing -- Step 3: Data Analysis with Machine Learning -- End Note. Python Programming -- Step 2:Data Pre-Processing -- Step 3: Data Analysis with Machine Learning -- End Note. Python Programming -- Step 2:Data Pre-Processing -- Step 3: Data Analysis with Machine Learning -- End Note. Python Programming -- Step 2:Data Pre-Processing -- Step 3: Data Analysis with Machine Learning -- End Note. Python Programming -- Step 2:Data Pre-Processing -- Step 3: Data Analysis with Machine Learning -- End Note. Python Programming -- Step 2:Data Pre-Processing -- Step 3: Data Analysis with Machine Learning -- End Note. Python Programming -- Step 2:Data Pre-Processing -- Step 3: Data Analysis with Machine Learning -- End Note. Python Programming -- Step 2:Data Pre-Processing -- Step 3: Data Analysis with Machine Learning -- End Note. Python Programming -- Step 2:Data Pre-Processing -- Step 3: Data Analysis with Machine Learning -- End Note. Python Programming -- Step 2:Data Pre-Processing -- Step 3: Data Analysis with Machine Learning -- End Note. Python Programming -- Step 2:Data Pre-Processing -- Step 3: Data Analysis with Machine Learning -- End Note. . 330 $aThe power of data drives the digital economy of the 21st century. It has been argued that data is as vital a resource as oil was during the industrial revolution. An upward trend in the number of research publications using machine learning in some of the top journals in combination with an increasing number of academic recruiters within psychology asking for Python knowledge from applicants indicates a growing demand for these skills in the market. While there are plenty of books covering data science, rarely, if ever, books in the market address the need of social science students with no computer science background. They are typically written by engineers or computer scientists for people of their discipline. As a result, often such books are filled with technical jargon and examples irrelevant to psychological studies or projects. In contrast, this book was written by a psychologist in a simple, easy-to-understand way that is brief and accessible. The aim for this book was to make the learning experience on this topic as smooth as possible for psychology students/researchers with no background in programming or data science. Completing this book will also open up an enormous amount of possibilities for quantitative researchers in psychological science, as it will enable them to explore newer types of research questions. . 606 $aPsychology 606 $aBusiness$xData processing 606 $aCognitive science 606 $aMental health 606 $aSocial sciences$xStatistical methods 606 $aPsychology$xMethodology 606 $aBehavioral Sciences and Psychology 606 $aBusiness Analytics 606 $aCognitive Science 606 $aMental Health 606 $aStatistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy 606 $aPsychological Methods 606 $aPsicologia$2thub 606 $aProcessament de dades$2thub 606 $aInvestigació$2thub 606 $aMetodologia de les ciències socials$2thub 608 $aLlibres electrònics$2thub 615 0$aPsychology. 615 0$aBusiness$xData processing. 615 0$aCognitive science. 615 0$aMental health. 615 0$aSocial sciences$xStatistical methods. 615 0$aPsychology$xMethodology. 615 14$aBehavioral Sciences and Psychology. 615 24$aBusiness Analytics. 615 24$aCognitive Science. 615 24$aMental Health. 615 24$aStatistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy. 615 24$aPsychological Methods. 615 7$aPsicologia 615 7$aProcessament de dades 615 7$aInvestigació 615 7$aMetodologia de les ciències socials 676 $a780 676 $a004.02415 700 $aGhosh$b Chandril $01262847 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9910619273603321 996 $aData Analysis with Machine Learning for Psychologists$92954896 997 $aUNINA