000			02334nam a22002777a 4500
008			240125s2020 |||||||| |||| 00| 0 eng d
020			_a9781492072942
022			_l9781492072942
041			_aeng
082			_a001.422 _bBRU
100			_aBruce, Peter _9879376 _eAU
245			_aPractical Statistics for Data Scientists 50+ Essential Concepts Using R and Python
250			_a2nd
260			_aBeijing : _bO'Reilly _cc2020
300			_axvi, 342 p. _b: ill
504			_aYY
520			_aSUMMARY 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 popular guide adds comprehensive examples in Python, provides practical guidance on applying 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 science resources incorporate statistical methods but lack a deeper statistical perspective. If you’re familiar with the R or Python programming languages and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format. With this book, you’ll learn: Why exploratory data analysis is a key preliminary step in data science How random sampling can reduce bias and yield a higher-quality dataset, even with big data How the principles of experimental design yield definitive answers to questions How to use regression to estimate outcomes and detect anomalies Key classification techniques for predicting which categories a record belongs to Statistical machine learning methods that "learn" from data Unsupervised learning methods for extracting meaning from unlabeled data
650		0	_9880292 _aMathematical Analysis Statistical Methods
650		0	_9880293 _aQuantitative Research Statistical Methods
650		0	_9152545 _aR Computer Program Language
700			_eAU _aBruce, Andrew _9880294
700			_eAU _aGedeck, Peter _9880295
856			_yTOC _uhttps://eaklibrary.neduet.edu.pk:8443/catalog/bk/books/toc/9781492072942.pdf
856			_yWEB LINK _uhttps://www.vitalsource.com/en-uk/products/practical-statistics-for-data-scientists-peter-bruce-andrew-bruce-v9781492072898
942			_2ddc _cBOO
999			_c814545 _d814545