Data Sciences – Bücher, CDs, LPs und mehr, Seite 10 online kaufen

Cattle Decapitation

Death Atlas

Cattle Decapitation haben sich nie davor gescheut, die Ausbeutung der Natur durch den Menschen zu thematisieren, und zeichnen auf Death Atlas ihre bis dato finstersten Zukunftsbilder. Allein das Cover sag…

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Damian Clifford
Data Protection Law and Emotion

Data protection law is seen as an important regulatory response to the challenges posed by innovative technologies, but some scholars are critical of its capacity to make a difference; Data Protection Law…

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Kerrie Holley, Manish Mathur
Llms and Generative AI for Healthcare

Large language models (LLMs) and generative AI are rapidly changing the healthcare industry. These technologies have the potential to revolutionize healthcare by improving the efficiency, accuracy, and pe…

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Rahul Bhargava
Community Data

Community Data offers arguments and approaches to working with data in support of community goals. This book is built around concrete examples that will challenge what you think of as data storytelling, e…

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Catherine D'Ignazio
Counting Feminicide

"This book explores the work of activists in the Americas who are documenting feminicide, arguing that feminist activists at the margins have much to teach mainstream data scientists about data ethics: ho…

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Andy Clarno, Janaé Bonsu-Love, Enrique Alvear Moreno, Lydia Dana
Imperial Policing

"The policing in Chicago Research Group"--Title page.

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Rogayeh Tabrizi
Behavioral AI

Turn your organization's data into concrete, hands-on solutions using principles from behavioral economics Behavioral AI: Unleash Decision Making with Data is a hands-on playbook for enterprises who want …

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Ethan Lang
Statistical Tableau

"In today's data-driven world, understanding statistical models is crucial for effective analysis and decision making. Whether you're a beginner or an experienced user, this book equips you with the found…

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Michael Eid, Christian Geiser, Tobias Koch
Structural Equation Modeling of Multiple Rater Data

From leading authorities, this book offers the first comprehensive introduction to structural equation modeling (SEM) of multiple rater data. Rather than taking a one-size-fits-all approach, the book show…

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Mark K Hinders
A Data Engineering Approach to Wave Scattering Analysis with Applications in Radar, Sonar, Medical Diagnostics, Structural Flaw Detection and Intelligent Robotics

Comprehensive resource exploring how recent advancements in computational capabilities open doors to new applications in wave scattering A Data Engineering Approach to Wave Scattering Analysis: with Appli…

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Matthias Josef Hofmann
Scientific Data: A 50 Steps Guide using Python

De Gruyter Textbook

This guide provides a solid understanding of how to understand experimental data within a natural scientific context while ensuring sustainable use of findings and processing as seen through a programmer'…

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Emmanuel Maggiori
The AI Pocketbook

Everything you need to know about AI to survive—and thrive—as an engineer. Haven’t you heard? AI can instantly generate code, find and track network intrusions, parse your observability data, and even wr…

lieferbar ab 27.5.2025.

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Valerii Babushkin, Arseny Kravchenko
Machine Learning System Design

Get the big picture and the important details with this end-to-end guide for designing highly effective, reliable machine learning systems. From information gathering to release and maintenance, Machine …

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Anita Say Chan
Predatory Data

"This groundbreaking book connects historical practices of eugenics to big data's contemporary challenges. Anita Say Chan highlights the power of community-based alternatives to extractive data that are r…

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Viktor Mayer-Sch Nberger
Big Data

Financial Times Business Book of the Year Finalist ?Illuminating and very timely . . . a fascinating ? and sometimes alarming ? survey of big data's growing effect on just about everything: business, gov…

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Aram Sinnreich, Jesse Gilbert
The Secret Life of Data

"How cultural and technological objects can reveal more information than their creators or sharers intended, or even imagined, when introduced into new contexts"--

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Catherine Nelson
Software Engineering for Data Scientists

This practical book bridges the gap between data science and software engineering, clearly explaining how to apply the best practices from software engineering to data science.

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Mark Ryan, Luca Massaron
Machine Learning for Tabular Data

Business runs on tabular data in databases, spreadsheets, and logs. Crunch that data using deep learning, gradient boosting, and other machine learning techniques. Machine Learning for Tabular Data teach…

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Maja Bak Herrie
Thinking Through Data

"We encounter digital data processing on a range of platforms and in a multitude of contexts today: in the predictive algorithms of the financial sector, in drones, insurance, and risk management, in smar…

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Maja Bak Herrie
Thinking Through Data

"We encounter digital data processing on a range of platforms and in a multitude of contexts today: in the predictive algorithms of the financial sector, in drones, insurance, and risk management, in smar…

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