Practical Statistics for Data Scientists: 50 Essential Concepts (Early Release)
Peter Bruce, Andrew Bruce
Data science is a fusion of multiple disciplines, including statistics, computer science, information technology and domain specific fields. As a result, a several different terms could be used to reference a given concept.
A key component of data science is statistics and machine learning, but only a small proportion of data scientists are actually trained as statisticians. This concise guide illustrates how to apply statistical concepts essential to data science, with advice on how to avoid their misuse.
Many courses and books teach basic statistics, but rarely from a data science perspective. And while many data science resources incorporate statistical methods, they typically lack a deep statistical perspective. This quick reference book bridges that gap in an accessible, readable format.
A key component of data science is statistics and machine learning, but only a small proportion of data scientists are actually trained as statisticians. This concise guide illustrates how to apply statistical concepts essential to data science, with advice on how to avoid their misuse.
Many courses and books teach basic statistics, but rarely from a data science perspective. And while many data science resources incorporate statistical methods, they typically lack a deep statistical perspective. This quick reference book bridges that gap in an accessible, readable format.
الفئات:
عام:
2017
الإصدار:
1 (Early Release)
الناشر:
O’Reilly Media
اللغة:
english
الصفحات:
250
ISBN 10:
1491952962
ISBN 13:
9781491952962
ملف:
PDF, 2.58 MB
IPFS:
,
english, 2017
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