Statistics And Data Science – alle Bücher online kaufen

New Frontiers in Statistics and Data Science

This volume showcases a collection of thirty-two peer-reviewed articles presented at the XXVI Congress of the Portuguese Statistical Society (2023). It covers a wide range of cutting-edge topics in both t…

lieferbar innerhalb 2-3 Wochen

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Carlos Fernandez-Granda
Probability and Statistics for Data Science

This accessible book for graduate students and data scientists provides a solid background in probabilistic and statistical concepts relevant to data science. Emphasis is placed on practice, with examples…

lieferbar ab 31.7.2025.

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Carlos Fernandez-Granda
Probability and Statistics for Data Science

This accessible book for graduate students and data scientists provides a solid background in probabilistic and statistical concepts relevant to data science. Emphasis is placed on practice, with examples…

lieferbar ab 31.7.2025.

Buch

Peter C Bruce, Peter Gedeck, Janet Dobbins
Statistics for Data Science and Analytics

Introductory statistics textbook with a focus on data science topics such as prediction, correlation, and data exploration Statistics for Data Science and Analytics is a comprehensive guide to statistical…

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Steven E. Rigdon, Jr Ronald D. Fricker, Douglas C. Montgomery
Introduction to Probability and Statistics for Data Science

Introduction to Probability and Statistics for Data Science provides a solid course in the fundamental concepts, methods and theory of statistics for students in statistics, data science, biostatistics, e…

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Advanced Methods in Statistics, Data Science and Related Applications

This book contains a selection of the improved contributions submitted by participants at the conference of the Italian Statistical Society - SIS 2022 held in Caserta 22-24 June 2022. The scientific commu…

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National Academies of Sciences Engineering and Medicine, Division of Behavioral and Social Sciences and Education, Committee On National Statistics,
Creating an Integrated System of Data and Statistics on Household Income, Consumption, and Wealth

Many federal agencies provide data and statistics on inequality and related aspects of household income, consumption, and wealth (ICW). However, because the information provided by these agencies is often…

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National Academies of Sciences Engineering and Medicine, Division of Behavioral and Social Sciences and Education, Committee On National Statistics, Panel on Approaches to Sharing Blended Data in a 21st Century Data Infrastructure
Toward a 21st Century National Data Infrastructure: Managing Privacy and Confidentiality Risks with Blended Data

Protecting privacy and ensuring confidentiality in data is a critical component of modernizing our national data infrastructure. The use of blended data - combining previously collected data sources - pre…

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Max A Little
Machine Learning for Signal Processing

Describes the fundamental mathematics and algorithms of machine learning (an example of artificial intelligence) and signal processing, two of the most important and exciting technologies in the modern in…

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Sustainable Statistical and Data Science Methods and Practices

This volume gathers papers presented at the LISA 2020 Sustainability Symposium in Kumasi, Ghana, May 2-6, 2022. They focus on sustainable methods and practices of using statistics and data science to addr…

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Practical Statistical Learning and Data Science Methods

This contributed volume offers practical implementation strategies for statistical learning and data science techniques, with fully peer-reviewed papers that embody insights and experiences gathered withi…

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National Academies of Sciences Engineering and Medicine, Division on Engineering and Physical Sciences, National Materials and Manufacturing Board, Board on Mathematical Sciences and Analytics
Statistical and Data-Driven Methods for Additive Manufacturing Qualification

Additive manufacturing (AM), the process in which a three-dimensional (3D) object is built by adding subsequent layers of materials, enables novel material compositions and shapes, often without the need …

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Katherine Munro, Jeannette Gorzala, Gerald A. Hahn, Georg Langs
Handbuch Data Science und KI

Data Science, Big Data und künstliche Intelligenz gehören derzeit zu den Konzepten, über die in Industrie, Regierung und Gesellschaft am meisten diskutiert wird, die aber auch am meisten missverstanden we…

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Andreas Knoblauch
Mathematik für Informatik und Data Science

Dieses Buch liefert eine kompakte aber fundierte Darstellung der wichtigsten Gebiete der Mathematik für Informatik, die insbesondere für Data Science, Künstliche Intelligenz und Maschinelles Lernen notwen…

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Angewandte Statistik

Dieses Handbuch setzt dort an, wo die meisten Einführungstexte zur angewandten Statistik aufhören: Anerkannte Expertinnen und Experten führen in fortgeschrittene Methoden, Modelle und Konzepte der angewan…

lieferbar ab 18.6.2026.

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Y Chen
Financial Data Analytics with Machine Learning, Op timization and Statistics

PRAISE FOR FINANCIAL DATA ANALYTICS "Really interesting, and an impressive masterpiece! Financial Data Analytics contains a rich amount of material, with original research findings in almost every chapte…

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Bader
An Introduction to Data Analysis Using R: A Guide for Natural Scientists

An accessible learning resource that develops data analysis skills for natural science students in an efficient style using the R programming language R-ticulate: A Beginner's Guide to Data Analysis for N…

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Giorgio Picci
An Introduction to Statistical Data Science

This graduate textbook on the statistical approach to data science describes the basic ideas, scientific principles and common techniques for the extraction of mathematical models from observed data. Aime…

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Randall K Julian
R Programming for Mass Spectrometry

A practical guide to reproducible and high impact mass spectrometry data analysis R Programming for Mass Spectrometry teaches a rigorous and detailed approach to analyzing mass spectrometry data using the…

lieferbar ab 11.6.2025.

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N W Galwey
The False Discovery Rate

The False Discovery Rate An essential tool for statisticians and data scientists seeking to interpret the vast troves of data that increasingly power our world First developed in the 1990s, the False Disc…

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