Data Analysis with Machine Learning for Psychologists [[electronic resource] ] : Crash Course to Learn Python 3 and Machine Learning in 10 hours / / by Chandril Ghosh
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| Autore: |
Ghosh Chandril
|
| Titolo: |
Data Analysis with Machine Learning for Psychologists [[electronic resource] ] : Crash Course to Learn Python 3 and Machine Learning in 10 hours / / by Chandril Ghosh
|
| Pubblicazione: | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
| Edizione: | 1st ed. 2022. |
| Descrizione fisica: | 1 online resource (169 pages) |
| Disciplina: | 780 |
| Soggetto topico: | Psychology |
| Business - Data processing | |
| Cognitive science | |
| Mental health | |
| Social sciences - Statistical methods | |
| Psychology - Methodology | |
| Behavioral Sciences and Psychology | |
| Business Analytics | |
| Cognitive Science | |
| Mental Health | |
| Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy | |
| Psychological Methods | |
| Psicologia | |
| Processament de dades | |
| Investigació | |
| Metodologia de les ciències socials | |
| Soggetto genere / forma: | Llibres electrònics |
| Nota di bibliografia: | Includes bibliographical references and index. |
| Nota di contenuto: | Introduction -- 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. . |
| Sommario/riassunto: | The 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. . |
| Titolo autorizzato: | Data Analysis with Machine Learning for Psychologists |
| ISBN: | 9783031146343 |
| 9783031146336 | |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910619273603321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |