Data-driven – Bücher, CDs, LPs und mehr, Seite 5

Philipp Nicolas Depta
Physics-Based and Data-Driven Multiscale Modeling of the Structural Formation in Macromolecular Systems

In order to improve knowledge on macromolecular structural formation and self-assembly, this work proposes a physics-based and data-driven multiscale modeling framework capable of describing structural fo…

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Data Driven Approaches on Medical Imaging

This book deals with the recent advancements in computer vision techniques such as active learning, few-shot learning, zero shot learning, explainable and interpretable ML, online learning, AutoML etc. an…

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In-Memory Computing Hardware Accelerators for Data-Intensive Applications

This book describes the state-of-the-art of technology and research on In-Memory Computing Hardware Accelerators for Data-Intensive Applications. The authors discuss how processing-centric computing has b…

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Tamer Khraisha
Financial Data Engineering

Today, investment in financial technology and digital transformation is reshaping the financial landscape and generating many opportunities. Too often, however, engineers and professionals in financial in…

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Dan Gaylin
Fact Forward

Praise for FACT FORWARD "As an education leader and policymaker, I've seen how good data, properly understood and wisely used, can drive real and lasting change. Dan Gaylin's Fact Forward shows why data l…

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Alara Efsun Yaz¿c¿o¿lu, Xavier Oberson
Taxation of Big Data

This book has the merit of being the first book analysing different aspects of data taxation from a wide perspective encompassing not only tax law but also other significant issues related to data, such a…

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Model and Data Engineering

This book constitutes the refereed proceedings of the 13th International Conference on Model and Data Engineering, MEDI 2024, held in Naples, Italy, during November 18–20, 2024. The 7 full papers and 11 …

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Big Data and Global Trade Law

An exploration of the current state of global trade law in the era of Big Data and AI. This title is also available as Open Access on Cambridge Core.

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Big Data ¿ BigData 2024

Lecture Notes in Computer Science - Band 15422

This book constitutes the refereed proceedings of the 13th International Conference on Big Data, BigData 2024, held as part of the Services Conference Federation, SCF 2024, in Bangkok, Thailand, during No…

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Frankie & The Witch Fingers

Data Doom

Das 2023 erscheinende Album von Frankie and the Witch Fingers trägt den Titel »Data Doom«. Seit langem an der Westküste der USA beheimatet, haben sich Frankie and the Witch Fingers eine ganz eigene N…

CD

Data Sharing für KMU

Ein bewusster Umgang mit Daten ist für Unternehmen wichtiger denn je: Sie fördern Innovation in Geschäftsmodellen, erfordern aber auch einen effizienten und nachhaltigen Datenumgang. Unternehmen, die Date…

lieferbar ab 29.6.2025.

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Katherine Brumberg, Warren J. Ewens
Introductory Statistics for Data Analysis

This book describes the probability theory associated with frequently used statistical procedures and the relation between probability theory and statistical inference. The first third of the book is dedi…

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Cornelia Sollfrank, Felix Stalder
Contemporaneity in Embodied Data Practices

On the relationship between quantifiable and experiential knowledge as entanglement of multiple temporalities. What parallels are there between a human pranayama practitioner and a migratory bird in heav…

lieferbar ab 10.6.2025.

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Lin Zhu, Luyi Bai
Fuzzy Spatiotemporal XML Data Management

Spatiotemporal data is not always precise, and fuzziness in spatiotemporal data is usually accepted because of the way the world is measured and represented. Although eXtensible Markup Language (XML) reco…

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Josh Appelbaum
The NFL Sharp Betting Playbook

The NFL Sharp Betting Playbookis an honest, comprehensive, no-nonsense guide on how to win while betting on the powerhouse that is the NFL. It teaches beginner and intermediate bettors the fundamentals of…

lieferbar ab 12.8.2025.

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Sven A. Wegner
Mathematical Introduction to Data Science

This textbook is intended for students of mathematics who have completed the foundational courses of their undergraduate studies and now want to specialize in Data Science and Machine Learning. It introdu…

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Guillaume Mercère
Data Driven Model Learning for Engineers

The main goal of this comprehensive textbook is to cover the core techniques required to understand some of the basic and most popular model learning algorithms available for engineers, then illustrate th…

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Carl Öhman
The Afterlife of Data

"In recent years, more and more of our lives takes place online. But what about our afterlives? Thanks to the digital trails of data we leave behind, much of "who we are" can be reconstructed-even after o…

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Shobha Srinivasan Chopra
Data Science: Experiment, Validate, Collaborate

Data science isn't a one-shot game. Unlike traditional software development, it thrives on constant exploration. This is where experimentation reigns supreme. Forget rigid blueprints; data science project…

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Sachiko Scheuing
How to Use Customer Data

Data-driven marketing is a huge aspect of any modern-day marketing plan, but balancing customers' privacy concerns with the latest innovations can be a complex challenge. When done right, data-driven mark…

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