Essential Statistics for Data Science: A Concise Crash...

Essential Statistics for Data Science: A Concise Crash Course

Mu Zhu
5.0 / 5.0
0 comments
이 책이 얼마나 마음에 드셨습니까?
파일의 품질이 어떻습니까?
책의 품질을 평가하시려면 책을 다운로드하시기 바랍니다
다운로드된 파일들의 품질이 어떻습니까?
Essential Statistics for Data Science: A Concise Crash Course is for students entering a serious graduate program or advanced undergraduate teaching in data science without knowing enough statistics. The three part text introduces readers to the basics of probability and random variables and guides them towards relatively advanced topics in both frequentist and Bayesian in a matter of weeks.Part I, Talking Probability explains the statistical approach to analysing data with a probability model to describe the data generating process. Part II, Doing Statistics demonstrates how the unknown quantities in data i.e. it's parameters is applicable in statistical interference. Part III, Facing Uncertainty explains the importance of explicity describing how much uncertainty is caused by parameters with intrinsic scientific meaning and how to take that intoaccount when making decisions.Essential Statistics for Data Science: A Concise Crash Course provides an in-depth introduction for beginners, while being more focused than a typical undergraduate text, but still lighter and more accessible than an average graduate text.
권:
1
년:
2023
판:
1st
출판사:
Oxford University Press
언어:
english
페이지:
177
ISBN 10:
0192867741
ISBN 13:
9780192867742
파일:
PDF, 6.94 MB
IPFS:
CID , CID Blake2b
english, 2023
온라인으로 읽기
로의 변환이 실행 중입니다
로의 변환이 실패되었습니다

주로 사용되는 용어