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Data analysis with machine learning for psychologistscrash course to learn Python 3 and machine learning in 10 hours /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Data analysis with machine learning for psychologistsby Chandril Ghosh.
其他題名:	crash course to learn Python 3 and machine learning in 10 hours /
作者:	Ghosh, Chandril.
出版者:	Cham :Springer International Publishing :2022.
面頁冊數:	xiii, 161 p. :ill. (chiefly color), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	PsychologyData processing.
電子資源:	https://doi.org/10.1007/978-3-031-14634-3
ISBN:	9783031146343$q(electronic bk.)

Data analysis with machine learning for psychologistscrash course to learn Python 3 and machine learning in 10 hours /
Ghosh, Chandril.

Data analysis with machine learning for psychologistscrash course to learn Python 3 and machine learning in 10 hours /[electronic resource] :by Chandril Ghosh. - Cham :Springer International Publishing :2022. - xiii, 161 p. :ill. (chiefly color), digital ;24 cm.

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.

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.

ISBN: 9783031146343$q(electronic bk.)

Standard No.: 10.1007/978-3-031-14634-3doiSubjects--Topical Terms:

189779
Psychology
--Data processing.

LC Class. No.: BF39.5 / .G46 2022

Dewey Class. No.: 150.285

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