ISBN-13: 9780192867735, 978-0192867735. 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.
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By Pratik Kumar. Author Pratik Kumar. It also includes a number of real-world case studies that demonstrate how statistics can be used to solve practical problems.Statistics for Data Science is an essential resource for anyone who wants to learn about the statistical foundations of data science.
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ISBN-13: 9783031281884, 978-3031281884. This book describes the probability theory associated with frequently used statistical procedures and the relation between probability theory and statistical inference.
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ISBN-13: 9781493982394, 978-1493982394. The revised second edition of this textbook provides the reader with a solid foundation in probability theory and statistics as applied to the physical sciences, engineering and related fields.
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Statistics are not a tool but rather a set of techniques that you have access to that will help you analyze a set of data that you either generate, receive, or give. Unlike local neighborhood statistics or marketing statistics, big data encompasses a huge range of information and often this big data will be populated by thousands if not millions of data points.
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Probability and Statistics for Data Science 9781009180085 Brand New
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Titel: Praktische Statistik für Data Scientists, Untertitel: 50+ essenzielle Konzepte mit R und Python, Einband: Taschenbuch, Autor: Peter Bruce, Verlag: Dpunkt.Verlag, Sprache: Deutsch, Seiten: 356, Maße: 237x163x23 mm, Gewicht: 694 g, Verkäufer: bochumer-buchshop, Schlagworte: Data Mining (EDV) Programmiersprachen Data Science Algorithmen Big Data Data Mining Datenanalyse Wahrscheinlichkeit Machine Learning Unsupervised Learning Regression Datenklassifikation Random Forest.
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