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Data Analysis with Machine Learning for Psychologists Crash Course to Learn Python 3 and Machine Learning in 10 hours
Author
Title
Data Analysis with Machine Learning for Psychologists [electronic resource] : Crash Course to Learn Python 3 and Machine Learning in 10 hours / by Chandril Ghosh.
ISBN
9783031146343
Edition
1st ed. 2022.
Publication
Cham : Springer International Publishing : Imprint: Springer, 2022.
Physical Description
1 online resource (XIII, 161 p.) 121 illus., 113 illus. in color.
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
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. .
Variant and related titles
Springer ENIN.
Other formats
Printed edition:
Printed edition:
Printed edition:
Format
Books / Online
Language
English
Added to Catalog
October 27, 2022
Contents
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. .
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