Machine Learning Models In Manufacturing – alle Bücher und LPs, Seite 2

Innovations in Machine and Deep Learning

In recent years, significant progress has been made in achieving artificial intelligence (AI) with an impact on students, managers, scientists, health personnel, technical roles, investors, teachers, and …

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Machine Learning in Modeling and Simulation

Machine learning (ML) approaches have been extensively and successfully employed in various areas, like in economics, medical predictions, face recognition, credit card fraud detection, and spam filtering…

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Purna C. Nayak, Roshan Srivastav
Applications of Machine Learning in Hydroclimatology

Applications of Machine Learning in Hydroclimatology is a comprehensive exploration of the transformative potential of machine learning for addressing critical challenges in water resources management. Th…

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Machine Learning Approaches in Financial Analytics

This book addresses the growing need for a comprehensive guide to the application of machine learning in financial analytics. It offers a valuable resource for both beginners and experienced professionals…

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Claudio Conti
Quantum Machine Learning

This book presents a new way of thinking about quantum mechanics and machine learning by merging the two. Quantum mechanics and machine learning may seem theoretically disparate, but their link becomes cl…

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Artificial Intelligence and Machine Learning in Healthcare

Artificial Intelligence and Machine Learning in Healthcare discusses the potential of groundbreaking technologies on the delivery of care. A lot have been said about how artificial intelligence and machin…

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Subhashis Mallick
Computation, Optimization, and Machine Learning in Seismology

A textbook applying fundamental seismology theories to the latest computational tools The goal of computational seismology is to digitally simulate seismic waves, create subsurface models, and match these…

lieferbar ab 25.6.2025.

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Applying Machine Learning in Science Education Research

This open access textbook offers science education researchers a hands-on guide for learning, critically examining, and integrating machine learning (ML) methods into their science education research proj…

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Denisse L. Argote, Pedro A. López-García, Manuel A. Torres-García
Machine Learning for Archaeological Applications in R

This Element highlights the employment within archaeology of classification methods developed in the field of chemometrics, artificial intelligence, and Bayesian statistics. It also provides a detailed ex…

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Denisse L. Argote, Pedro A. López-García, Manuel A. Torres-García
Machine Learning for Archaeological Applications in R

This Element highlights the employment within archaeology of classification methods developed in the field of chemometrics, artificial intelligence, and Bayesian statistics. It also provides a detailed ex…

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Machine Learning in Geohazard Risk Prediction and Assessment

Machine Learning in Geohazard Risk Prediction and Assessment: From Microscale Analysis to Regional Mapping presents an overview of the most recent developments in machine learning techniques that have res…

lieferbar ab 1.7.2025.

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Umberto Michelucci
Fundamental Mathematical Concepts for Machine Learning in Science

This book is for individuals with a scientific background who aspire to apply machine learning within various natural science disciplines such as physics, chemistry, biology, medicine, psychology and many…

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Advances in Machine Learning and Big Data Analytics I

This edited volume on machine learning and big data analytics (Proceedings of ICMLBDA 2023, that was held on May 29-30, 2023 by NERIST and NIT Arunachal Pradesh India) is intended to be used as a referenc…

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Machine Learning and Knowledge Discovery in Databases. Research Track

This multi-volume set, LNAI 14941 to LNAI 14950, constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2024, held in Vilnius, …

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Michael Lutter
Inductive Biases in Machine Learning for Robotics and Control

One important robotics problem is How can one program a robot to perform a task ? Classical robotics solves this problem by manually engineering modules for state estimation, planning, and control. In co…

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Machine Learning and Knowledge Discovery in Databases. Research Track

This multi-volume set, LNAI 14941 to LNAI 14950, constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2024, held in Vilnius, …

lieferbar innerhalb 2-3 Wochen

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Machine Learning and Knowledge Discovery in Databases. Research Track

This multi-volume set, LNAI 14941 to LNAI 14950, constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2024, held in Vilnius, …

lieferbar innerhalb 2-3 Wochen

Buch

Machine Learning and Knowledge Discovery in Databases. Research Track

This multi-volume set, LNAI 14941 to LNAI 14950, constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2024, held in Vilnius, …

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Andrew T. C. Sutton
Domain Generalization with Machine Learning in the NOvA Experiment

This thesis presents significant advances in the use of neural networks to study the properties of neutrinos. Machine learning tools like neural networks (NN) can be used to identify the particle types or…

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Machine Learning and Knowledge Discovery in Databases. Research Track

This multi-volume set, LNAI 14941 to LNAI 14950, constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2024, held in Vilnius, …

lieferbar innerhalb 2-3 Wochen

Buch

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