Data-Driven Modeling Of Human Learning – alle Bücher und LPs online kaufen

Krishna Garikipati
Data-driven Modelling and Scientific Machine Learning in Continuum Physics

This monograph takes the reader through recent advances in data-driven methods and machine learning for problems in science¿specifically in continuum physics. It develops the foundations and details a num…

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Jan-Willem van Wingerden, Nassir Cassamo
Data-driven Modelling of Wind Farm Flow Control Strategies

This book presents data-driven algorithms used in the context of wind farm modelling and exploits their relation with concepts from non-linear dynamical system theory. The algortihms include Input Output …

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Pascual Pérez-Paredes, Alex Boulton
Data-Driven Learning in and Out of the Language Classroom

Data-Driven Learning (DDL) can be broadly defined as the use of corpus tools and techniques for learners and teachers of foreign or second language, typically in the form of concordances derived from auth…

lieferbar ab 31.5.2025.

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Pascual Pérez-Paredes, Alex Boulton
Data-Driven Learning in and Out of the Language Classroom

Data-Driven Learning (DDL) can be broadly defined as the use of corpus tools and techniques for learners and teachers of foreign or second language, typically in the form of concordances derived from auth…

lieferbar ab 31.5.2025.

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Data Driven Analysis and Modeling of Turbulent Flows

Data-driven Analysis and Modeling of Turbulent Flows provides an integrated treatment of modern data-driven methods to describe, control, and predict turbulent flows through the lens of both physics and d…

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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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Computational and Network Modeling of Neuroimaging Data

Computational and Network Modeling of Neuroimaging Data provides an authoritative and comprehensive overview of the many diverse modeling approaches that have been fruitfully applied to neuroimaging data.…

lieferbar in mind. 4 Wochen

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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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Kwang Hun Kim, Ju Song Kim, Song Il Ri
Application of data decomposition and deep learning technique

Water pollution is one of the most serious environmental problems worldwide. Accurate forecast of water quality is of great importance since it can provide useful information for the managers to minimize …

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Mouse On Mars

AAI (Limited Edition) (Grey Vinyl)

Product Information Mouse on Mars, the Berlin-based duo of Jan St. Werner and Andi Toma, approach electronic music with an inexhaustible curiosity and unparalleled ingenuity. Operating in their unique o…

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2 LPs

Mouse On Mars

AAI

Product Information Mouse on Mars, the Berlin-based duo of Jan St. Werner and Andi Toma, approach electronic music with an inexhaustible curiosity and unparalleled ingenuity. Operating in their unique o…

lieferbar innerhalb von 3 Tagen

2 LPs

Emerging Trends and Applications of Deep Learning for Biomedical Data Analysis

Emerging Trends and Applications of Deep Learning for Biomedical Data Analysis introduces the latest emerging trends and applications of deep learning in biomedical data analysis. The book delves into var…

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James
Unlocking the Power of Streaming Data: Online Learning for Diverse Applications

Data streams are de¿ned as large sequences of data, gathered from sources such as sensor networks and customer click streams, that are possibly in¿nite and temporarily ordered [7, 22]. Instances in data s…

lieferbar innerhalb 2-3 Wochen

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Frank Emmert-Streib, Matthias Dehmer, Salissou Moutari
Elements of Data Science, Machine Learning, and Artificial Intelligence Using R

The textbook provides students with tools they need to analyze complex data using methods from data science, machine learning and artificial intelligence. The authors include both the presentation of meth…

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Muhammad Fasih Ullah
Advanced Snowflake

As Snowflake's capabilities expand, staying updated with its latest features and functionalities can be overwhelming for users. The platform's rapid development introduces advanced tools like Snowpark and…

Erscheint bald

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Julia Hofele
Multi-Physics Modelling towards the Stabilization of PAN Fibers with Microwaves Based on Experimental Data

High energy demand is one reason for high costs of carbon fibers. One option to decrease them is to use microwave heating instead of conventional heating. In this work, steps towards a microwave assisted …

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Yannick Lingelbach
Application of Data Mining and Machine Learning Methods to Industrial Heat Treatment Processes for Hardness Prediction

This work presents a data mining framework applied to industrial heattreatment (bainitization and case hardening) aiming to optimize processes and reduce costs. The framework analyses factors such as mate…

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Sandra Matz
Mindmasters

"There are more digital pieces of data than stars in the universe. This data helps us monitor our planet, decipher our genetic code, and take a deep dive into our psychology. As algorithms become inc…

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The New Cambridge History of the English Language: Volume 2

Various kinds of text which document the history of English form the focus of the current volume. Vernacular speech in writing and orality along with issues of literacy and manuscripts are highlighted. Th…

lieferbar ab 30.9.2025.

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Elisa Farri, Gabriele Rosani
HBR Guide to Generative AI for Managers

Leverage gen AI to save time, innovate faster, and lead effectively.You're probably aware that generative AI can output quality text and create stunning images in seconds. But smart managers are now using…

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