Trefferliste "Data-driven" - alle Bücher, CDs, LPs und mehr

Aparna Kumari

Big Data Technologies and Analytics

Understand the future of a thriving research toolkit with this introduction to big data analyticsIn recent decades, big data analytics has undergone rapid growth to become an essential tool in a variety o…

Handbook of Dynamic Data Driven Applications Systems

This handbook is an authoritative reference on the Dynamic Data Driven Applications Systems paradigm, pioneered by Dr. Darema, and contains DDDAS-based work conducted by contributing co-authors in numerou…

Joel Grus,

Einführung in Data Science

Neuauflage des Standardwerks, jetzt zu Python 3.6Der ideale Einstieg in Data Science - didaktisch klug angelegt und gut nachvollziehbarBietet mathematisches Hintergrundwissen und einen Crashkurs für Pytho…

Brennan Davis, Hunter Glanz

Data Science for All, Global Edition

We are all consumers of data, and you may become directly engaged with data work in your future career. Data Science for All, 1st Edition takes you on a thorough yet reader-friendly journey into the subje…

Human Development and the Data Revolution

Human Development and the Data Revolution explores the uses of large-scale data in the contexts of development, in particular, what techniques, data sources, and possibilities exist for harnessing large d…

Tom Jackson

The Expanding World of Data

The Expanding World of Data is the perfect way for young readers to get to grips with the subject and its terminology. With a clear and entertaining explanation, with comic strips, photographs, and illust…

Behzad Razavi

Analysis and Design of Data Converters

Master data converter design with this definitive textbook. Razavi's intuitive pedagogical approach introduces step-by-step transistor-level designs and simulations, with 250+ examples and 350+ homework p…

Data Mining and Information Security

This book features research papers presented at the International Conference on Data Mining and Information Security (ICDMIS 2025) held in Phnom Penh in collaboration with Eminent College of Management &a…

Potter C. Chang

Data Analysis of Medical Studies

This book is written for the many health professionals who are regularly frustrated by elegant but ambiguous descriptions of results of data analysis. It uses articles of the New England Journal of Medici…

Stefan Sprenger

Streaming Data Pipelines with Apache Kafka

Deliver real-time insights into your data with a rapid, reliable streaming data pipeline.Streaming data pipelines let you integrate data from multiple systems in real time, with instantaneously updating a…

Data Information in Online Environments

This book constitutes the refereed proceedings of the 5th International Conference on Data and Information in Online, DIONE 2024, held in Sanya, China, during November 1--3, 2024.The 34 full papers were p…

Jorge Drexler

Bailar En La Cueva

Pedro A. López-García, Denisse L. Argote

Determining Provenance from Compositional Data

Traditionally, classical multivariate statistical methods have been applied to relate cultural materials recovered at archaeological sites to their respective raw material sources. However, when reviewing…

Danah Boyd

Data Are Made, Not Found

An eye-opening story of the people who make the census, the United States' largest and most consequential dataset, and the growing threats to their crucial work.By many measures, the US census is the gove…

Joseph Hilger, Lulit Tesfaye, Zachary Wahl

Bridging Knowledge, Data, and AI

The semantic layer framework is the practical combination of core technologies and best-in-practice design principles that deliver a framework connecting all of an organization's knowledge assets in conte…

Conceptions of Data Protection and Privacy

This open access book offers a clear and concise overview of leading conceptions of data protection and privacy, exploring their social value through philosophical theorisations and European and US-Americ…

Maria Isabel Bueno Cachadina, Javier Perez Alvaro

Matrix Methods in Data Analysis

This textbook offers a fresh and balanced approach to the study of Linear Algebra in the context of modern Data Science. Whereas many existing texts either emphasize theory with little connection to pract…

Pedro A. López-García, Denisse L. Argote

Determining Provenance from Compositional Data

Traditionally, classical multivariate statistical methods have been applied to relate cultural materials recovered at archaeological sites to their respective raw material sources. However, when reviewing…

Jon Willis

The Pale Blue Data Point

"Here is Willis's fundamental argument: The more we learn about Earth--our one 'pale blue data point' for a planet on which life has definitively arisen--the more qualified we will be to recognize si…