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Nathalie Japkowicz, Zois Boukouvalas
Machine Learning Evaluation

As machine learning applications gain widespread adoption and integration in a variety of applications, including safety and mission-critical systems, the need for robust evaluation methods grows more urg…

lieferbar innerhalb 2-3 Wochen

Buch

Machine Learning Algorithms

This book constitutes the refereed proceedings of the First International Conference on Machine Learning Algorithms, ICMLA 2024, held in Himachal Pradesh, India, during February 23 24, 2024. The 23 full …

lieferbar innerhalb 2-3 Wochen

Buch

Stefan Sandfeld
Materials Data Science

This text covers all of the data science, machine learning, and deep learning topics relevant to materials science and engineering, accompanied by numerous examples and applications. Almost all methods an…

lieferbar innerhalb 2-3 Wochen

Buch

Tarkeshwar Barua
Machine Learning with Python

De Gruyter STEM

This book explains how to use the programming language Python to develop machine learning and deep learning tasks.

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Buch

Fabian Steinberg
Machine Learning-based Prediction of Missing Parts for Assembly

Manufacturing companies face challenges in managing increasing process complexity while meeting demands for on-time delivery, particularly evident during critical processes like assembly. The early identi…

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Buch

Ilse Depraetere, Thierry Hamon, Clemens Hufeld, Benoît Leclercq
Models of Modals

Modal verbs in English communicate delicate shades of meaning, there being a large range of verbs both on the necessity side (must, have to, should, ought to, need, need to) and the possibility side (can,…

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Buch

Christophe Gaillac, Jeremy L'Hour
Machine Learning for Econometrics

Machine Learning for Econometrics is a book for economists seeking to grasp modern machine learning techniques - from their predictive performance to the revolutionary handling of unstructured data - in o…

lieferbar ab 22.6.2025.

Buch

Nicolas Privault
Discrete Stochastic Processes

This text presents selected applications of discrete-time stochastic processes that involve random interactions and algorithms, and revolve around the Markov property. It covers recurrence properties of (…

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Buch

Colleen

The Tunnel And The Clearing

Colleen is an aboundingly inventive composer and artist. For two decades Cécile Schott, as Colleen, has crafted welcoming, enchanting, and bewildering music. The multi-instrumentalist and vocalist's timel…

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Parteek Bhatia
Machine Learning with Python

This textbook presents the theoretical foundations of machine learning along with its practical implementation in Python, to help a beginner learn and implement all aspects of the subject. It will be a vi…

lieferbar ab 31.5.2025.

Buch

Rasit Dinc
Machine Learning for Healthcare

Authored by a leading voice in the field, Machine Learning for Healthcare provides a gateway to revolutionize the understanding of medicine and patient care.

lieferbar innerhalb 2-3 Wochen

Buch

Eduardo Bayro-Corrochano
Geometric Algebra Applications Vol. III

The goal of Geometric Algebra Applications Vol. III: Integral Transforms, Machine Learning, and Quantum Computing is to present a unified mathematical treatment of diverse problems in the general domain l…

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In Silico Clinical Trials for Cardiovascular Disease

This book covers in silico clinical trials of cardiovascular disease using a finite element and machine learning approach. Part I describes the fundamentals as well as the latest developments in the field…

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Buch

Machine Learning in Finance

This book discusses the evolution of technical features in decentralized finance and focuses on machine-learning finance in emerging economies. As technological advancement evolves at an unpredictable pac…

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Buch

Nils Frahm (geb. 1982)

Old Friends New Friends (140g)

Nils Frahm (Klavier)

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2 LPs

Machine Learning for Astrophysics

This book reviews the state of the art in the exploitation of machine learning techniques for the astrophysics community and gives the reader a complete overview of the field. The contributed chapters all…

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Buch

Gerald Friedland
Information-Driven Machine Learning

This groundbreaking book transcends traditional machine learning approaches by introducing information measurement methodologies that revolutionize the field. Stemming from a UC Berkeley seminar on exper…

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Buch

Machine Learning for Networking

This book constitutes the refereed proceedings of the 6th International Conference on Machine Learning for Networking, MLN 2023, held in Paris, France, during November 28 30, 2023. The 18 full papers inc…

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Vazgen Melikyan
Machine Learning-based Design and Optimization of High-Speed Circuits

This book describes machine learning-based new principles, methods of design and optimization of high-speed integrated circuits, included in one electronic system, which can exchange information between e…

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Buch

Machine Learning, Deep Learning, and Blockchain

This book constitutes the refereed proceedings of Fourth International Research Conference on Machine Learning, Deep Learning, and Blockchain, IRCICD 2023, held in Chennai, India, during April 28–29, 2023…

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