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Viser: Practical Statistics for Data Scientists - 50+ Essential Concepts Using R and Python
Practical Statistics for Data Scientists Vital Source e-bog
Peter Bruce, Andrew Bruce og Peter Gedeck
(2020)
Practical Statistics for Data Scientists
50+ Essential Concepts Using R and Python
Peter Bruce, Andrew Bruce og Peter Gedeck
(2020)
Sprog: Engelsk
om ca. 10 hverdage
Detaljer om varen
- 2. Udgave
- Vital Source searchable e-book (Reflowable pages)
- Udgiver: O'Reilly Media, Inc (April 2020)
- Forfattere: Peter Bruce, Andrew Bruce og Peter Gedeck
- ISBN: 9781492072898
Bookshelf online: 5 år fra købsdato.
Bookshelf appen: ubegrænset dage fra købsdato.
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Print: 2 sider kan printes ad gangen
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Detaljer om varen
- 2. Udgave
- Paperback: 360 sider
- Udgiver: O'Reilly Media, Incorporated (Juni 2020)
- Forfattere: Peter Bruce, Andrew Bruce og Peter Gedeck
- ISBN: 9781492072942
Statistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic statistics rarely cover the topic from a data science perspective. The second edition of this practical guide--now including examples in Python as well as R--explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not.
Many data scientists use statistical methods but lack a deeper statistical perspective. If you're familiar with the R or Python programming languages, and have had some exposure to statistics but want to learn more, this quick reference bridges the gap in an accessible, readable format.
With this updated edition, you'll dive into:
- Exploratory data analysis
- Data and sampling distributions
- Statistical experiments and significance testing
- Regression and prediction
- Classification
- Statistical machine learning
- Unsupervised learning