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Sprache: Englisch
Verlag: O'Reilly Media, Incorporated, 2017
ISBN 10: 1491952962 ISBN 13: 9781491952962
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Sprache: Englisch
Verlag: O'Reilly Media, Incorporated, 2017
ISBN 10: 1491952962 ISBN 13: 9781491952962
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Sprache: Englisch
Verlag: O'Reilly Media, O'Reilly Media, 2020
ISBN 10: 149207294X ISBN 13: 9781492072942
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Paperback. Zustand: Fine. Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python by Peter Bruce; Andrew Bruce; Peter Gedeck. O'Reilly Media, 2020. 360pp. Language: English. Note:
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Paperback. Zustand: New. 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 scienceHow random sampling can reduce bias and yield a higher-quality dataset, even with big dataHow the principles of experimental design yield definitive answers to questionsHow to use regression to estimate outcomes and detect anomaliesKey classification techniques for predicting which categories a record belongs toStatistical machine learning methods that "learn" from dataUnsupervised learning methods for extracting meaning from unlabeled data.
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Anbieter: medimops, Berlin, Deutschland
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Anbieter: medimops, Berlin, Deutschland
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Anbieter: Rarewaves.com USA, London, LONDO, Vereinigtes Königreich
EUR 60,91
Anzahl: Mehr als 20 verfügbar
In den WarenkorbPaperback. Zustand: New. 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 scienceHow random sampling can reduce bias and yield a higher-quality dataset, even with big dataHow the principles of experimental design yield definitive answers to questionsHow to use regression to estimate outcomes and detect anomaliesKey classification techniques for predicting which categories a record belongs toStatistical machine learning methods that "learn" from dataUnsupervised learning methods for extracting meaning from unlabeled data.
Anbieter: UK BOOKS STORE, London, LONDO, Vereinigtes Königreich
EUR 54,09
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In den WarenkorbPaperback. Zustand: Used books. USED Books ! Fast Delivery "International Edition " and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 4-6 Working days .and we do have flat rate for up to 2LB. Extra shipping charges will be requested This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
Anbieter: UK BOOKS STORE, London, LONDO, Vereinigtes Königreich
EUR 54,09
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In den WarenkorbPaperback. Zustand: Used books. USED Books ! Fast Delivery "International Edition " and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 4-6 Working days .and we do have flat rate for up to 2LB. Extra shipping charges will be requested This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
Sprache: Englisch
Verlag: O'Reilly Media, Sebastopol, 2020
ISBN 10: 149207294X ISBN 13: 9781492072942
Anbieter: Grand Eagle Retail, Bensenville, IL, USA
Paperback. Zustand: new. Paperback. 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" 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 whats important and whats not Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Anbieter: Brook Bookstore On Demand, Napoli, NA, Italien
EUR 55,40
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: new.