Data-driven – Bücher, CDs, LPs und mehr, Seite 9

G. Arockia Sahaya Sheela
LAB MANUAL - C++ & DATA STRUCTURES

The C++ and Data Structures Lab Manual is a comprehensive guide designed to help students develop a strong foundation in both programming and efficient data management. The manual begins with basic C++ co…

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Data Analytics for Internet of Things Infrastructure

This book provides techniques for the deployment of semantic technologies in data analysis along with the latest applications across the field such as Internet of Things (IoT). The authors focus on the us…

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Data Science in Engineering Vol. 10

Data Science in Engineering, Volume 10: Proceedings of the 42nd IMAC, A Conference and Exposition on Structural Dynamics, 2024, the tenth volume of ten from the Conference brings together contributions to…

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Dalia Chakrabarty
Learning in the Absence of Training Data

This book introduces the concept of bespoke learning , a new mechanistic approach that makes it possible to generate values of an output variable at each designated value of an associated input variable.…

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Edward Gunning, Norma Bargary, Andrew J. Harrison, John Warmenhoven
Functional Data Analysis in Biomechanics

This book provides a concise discussion of fundamental functional data analysis (FDA) techniques for analysing biomechanical data, along with an up-to-date review of their applications. The core of the bo…

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Data Augmentation, Labelling, and Imperfections

This LNCS conference volume constitutes the proceedings of the 3rd International Workshop on Data Augmentation, Labeling, and Imperfections (DALI 2023), held on October 12, 2023, in Vancouver, Canada, in…

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Axel Bohmann, Julia Müller, Mirka Honkanen, Miriam Neuhausen
Linguistic Data Science and the English Passive

Employs a combination of machine-learning tools to study the choice of English passive auxiliary, BE vs GET, in several large corpora, both diachronically and across varieties.

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Ian Nicolson, Richard Nicolson
The Boat Data Book 8th Edition

"... tables of lengths, widths, weights and strengths as well as new data on a vast range of equipment from anchors to masts, propellers to gas cylinders, cleat sizes to winch bases, and hatches to bolts,…

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Vidya Subramanian
Applied Machine Learning for Data Science Practitioners

Applied Machine Learning for Data Science Practitioners Vidya Subramanian A single-volume reference on data science techniques for evaluating and solving business problems using Applied Machine Learning…

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Computational Intelligence in Data Science

This book constitutes the proceedings of the 6th IFIP TC 12 International Conference on Computational Intelligence in Data Science, ICCIDS 2023, which took place in Kalavakkam, India, in February 2023. T…

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Gary Archer, Judith Kahrer, Michal Trojanowski
Cloud Native Data Security with OAuth

With the growth of cloud native applications, developers increasingly rely on APIs to make everything work. But security often lags behind, making APIs an attractive target for bad actors looking to acces…

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Philip Laue, Judith Nink, Sascha Kremer
European Data Protection Law in Practice

The Book This guide explains European data protection law for practitioners, giving the users the necessary guidance to remain up-to-date and assess the consequences. The book features multiple examples a…

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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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Signal Processing Driven Machine Learning Techniques for Cardiovascular Data Processing

Signal Processing Driven Machine Learning Techniques for Cardiovascular Data Processing features recent advances in machine learning coupled with new signal processing-based methods for cardiovascular dat…

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Data Analytics for Management, Banking and Finance

This book is a practical guide on the use of various data analytics and visualization techniques and tools in the banking and financial sectors. It focuses on how combining expertise from interdisciplinar…

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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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Ramesh S. V. Teegavarapu
Imputation Methods for Missing Hydrometeorological Data Estimation

Missing data is a ubiquitous problem that plagues many hydrometeorological datasets. Objective and robust spatial and temporal imputation methods are needed to estimate missing data and create error-free,…

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Computational Intelligence in Data Science

These two-volume set IFIP AICT 717 and 718 constitutes the refereed post-conference proceedings of the 7th International Conference on Computational Intelligence in Data Science, ICCIDS 2024, held in Chen…

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Computational Intelligence in Data Science

These two-volume set IFIP AICT 717 and 718 constitutes the refereed post-conference proceedings of the 7th International Conference on Computational Intelligence in Data Science, ICCIDS 2024, held in Chen…

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Markus Neuhäuser, Graeme D Ruxton
The Statistical Analysis of Small Data Sets

This book offers advice on the statistical analysis of small data sets (which are often used for ethical, financial, or practical reasons) for various designs and levels of measurement, helping researcher…

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