Learning-basedControl – Bücher, CDs, LPs und mehr, Seite 8

Debra Hardison
The Multimodal Context of Phonological Learning

The Multimodal Context of Phonological Learning is both authoritative and practical, combining research review and a pedagogical orientation presented by a researcher and teacher whose work in second lang…

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Intelligent Data Engineering and Automated Learning - IDEAL 2025

Lecture Notes in Computer Science - Band 16238

This two-volume set, LNCS 16238 and LNCS 16239, constitutes the proceedings of the 26th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2025, which was held in Jaén,…

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Leslye Denisse Dias Duran
Machine Learning in Medical Diagnosis

Neue Wege der Angewandten Ethik / New Pathways of Applied Ethics

This book seeks to navigate between the optimism that has arisen from the promise of the potential of machine learning (ML) in healthcare, and the lack of clarity about what realistic risks and benefits w…

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Optimization, Learning Algorithms and Applications

Communications in Computer and Information Science - Band 2618

.- Optimization in the SDG context. .- Application of Continuous and Periodic Review Models to Optimize Inventory Management in Dynamic Demand Scenarios. .- Social Context in Fake News Diffusion. .- Integ…

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Henry Cow

In Praise Of Learning (Original Mix)

(3)

Wir können nicht sicherstellen, dass die Bewertungen von solchen Verbrauchern stammen, die die Ware tatsächlich genutzt oder erworben haben.

Ursprünglich 1975 auf VIRGIN veröffentlicht und (teilweise) in Zusammenarbeit mit den SLAPP HAPPY- Musikern entstanden, knüpft In Praise Of Learning wieder verstärkt an die beiden ersten HENRY COW-Alben a…

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CD

Connected Learning: Origins, Opportunities, and Perspectives of Contemporary Educational Design

Networked learning: opportunities and implications for education in the 21st century.- Defining networked learning with a focus on higher education.- The impact of digital badges on student learning and e…

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N. M. Anoop Krishnan, Hariprasad Kodamana, Ravinder Bhattoo
Machine Learning for Materials Discovery

Machine Intelligence for Materials Science

Focusing on the fundamentals of machine learning, this book covers broad areas of data-driven modeling, ranging from simple regression to advanced machine learning and optimization methods for application…

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Foreign Language Learning from Audiovisual Input

Educational Linguistics - Band 66

This edited volume brings together studies that test the effectiveness of original version television for foreign language learning and the possible ways to enhance this learning process. The wide availab…

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Cultural Tasks for Digital Language Learning

Explaining how the cultural practices of a community can be used as the vehicle for learning its language, this book shows how two apps have been developed to deliver language learning while users are car…

lieferbar ab 20.8.2026.

Buch

Amir Masoud Rahmani, Atefeh Hemmati, Fatemeh Bazikar, Hossein Moosaei
Optimization Techniques for Deep Learning

Springer Optimization and Its Applications

This book offers a comprehensive guide to optimization techniques in deep learning, a transformative branch of artificial intelligence that has revolutionized fields from computer vision to healthcare. By…

lieferbar ab 31.5.2026.

Buch

Jim Dowling
Building Machine Learning Systems with a Feature Store

Get up to speed on a new unified approach to building machine learning (ML) systems with a feature store. Using this practical book, data scientists and ML engineers will learn in detail how to develop an…

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Xiyuan Ma, Desheng Wu
Financial Fraud Detection Using Machine Learning

AI for Risks

Introduction.- The Definition of Financial Fraud.- The Basic Theory of Financial Fraud.- Financial Fraud Litigation and Forensic Accounting.- Resampling Techniques and Feature Selection.- Detection Models…

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Deep Learning and Visual Artificial Intelligence

Algorithms for Intelligent Systems

This book features high-quality research papers presented at the International Conference on Deep Learning and Visual Artificial Intelligence (ICDLAI), held at Government Engineering College Bikaner, Bika…

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Information Theory, Probability and Statistical Learning

In 2024, Andrew Barron turned 65 and retired. This is a Festschrift volume honoring his career and contributions. Andrew R. Barron, a professor of Statistics and Data Science at Yale University, has been …

lieferbar ab 13.5.2026.

Buch

Becky Willis
7 Steps to Better Learning Engagement

Motivate and Engage Learners to Drive Your Business ForwardOrganizations that prioritize employee learning are best positioned to thrive in our rapidly evolving business landscape. Veteran learning strate…

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Aurélien Géron
Hands-On Machine Learning with Scikit-Learn and PyTorch

The potential of machine learning today is extraordinary, yet many aspiring developers and tech professionals find themselves daunted by its complexity. Whether you're looking to enhance your skill set an…

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Afsaneh Ghanizadeh
The Sustainable Contributions of Lifelong Learning

Springer Texts in Education

This textbook provides an insightful exploration of the transformative power of lifelong learning in today's digital era---an age characterized by liquid modernity. It serves as both a comprehensive instr…

lieferbar ab 26.4.2026.

Buch

François Chollet, Tomasz Kalinowski
Deep Learning with R, Third Edition

Deep learning from the ground up using R and the powerful Keras library!Deep Learning with R, Third Edition introduces deep learning from scratch with examples that use the R language and the Keras librar…

lieferbar ab 2.6.2026.

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Designing Democratic Schools and Learning Environments

This open access book explores democratic schools and learning environments globally. The book focuses on a newly developed framework for democratic education. The authors describe existing schools and co…

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Durai Rajamanickam
Causal Inference for Machine Learning Engineers

.- Introduction to Causal Thinking. .- Treatments, Outcomes, and Confounding: Core Concepts. .- Causal Estimation Basics. .- Causal Graphs: Structure and Assumptions. .- Interventions and Counterfactuals.…

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