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Published by CreateSpace Independent Publishing Platform, 2017
ISBN 10: 1979455473 ISBN 13: 9781979455473
Language: English
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Add to basketCondition: Sehr gut. Zustand: Sehr gut | Seiten: 88 | Sprache: Englisch | Produktart: Bücher.
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Published by Abiprod Pty Ltd 7/24/2019, 2019
ISBN 10: 1922300233 ISBN 13: 9781922300232
Language: English
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Add to basketPaperback or Softback. Condition: New. Statistics: Practical Concept of Statistics for Data Scientists 0.25. Book.
Published by O'Reilly Media (edition 2), 2020
ISBN 10: 149207294X ISBN 13: 9781492072942
Language: English
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Published by O'Reilly Media, Sebastopol, 2020
ISBN 10: 149207294X ISBN 13: 9781492072942
Language: English
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Paperback. Condition: 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 our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Published by O'Reilly Media, Inc, USA, 2020
ISBN 10: 149207294X ISBN 13: 9781492072942
Language: English
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