Learning Models – alle Bücher, CDs und LPs, Seite 5 online kaufen

Sandhya Vinayakam, A. Lakshmi Muddana
Python for Data Science

The book is designed to serve as a textbook for courses offered to undergraduate and graduate students enrolled in data science. This book aims to help the readers understand the basic and advanced concep…

lieferbar innerhalb 2-3 Wochen

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Frederik Rehbach
Enhancing Surrogate-Based Optimization Through Parallelization

This book presents a solution to the challenging issue of optimizing expensive-to-evaluate industrial problems such as the hyperparameter tuning of machine learning models. The approach combines two well-…

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Prabhat Mishra, Zhixin Pan
Explainable AI for Cybersecurity

This book provides a comprehensive overview of security vulnerabilities and state-of-the-art countermeasures using explainable artificial intelligence (AI). Specifically, it describes how explainable AI c…

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Charles Ravarani, Natasha Latysheva
Deep Learning for Biology

Bridge the gap between biology and cutting-edge machine learning techniques with this essential guide. Train and interpret deep learning models and answer fundamental biological questions. Whether your ba…

lieferbar ab 30.6.2025.

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Raghavendra Selvan
Sustainable AI

In the era of big data and even bigger machine learning models, the environmental footprint of these technologies can no longer be ignored. This much-needed guide confronts the challenge head-on, offering…

lieferbar ab 2.12.2025.

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Charu C. Aggarwal
Neural Networks and Deep Learning

This book covers both classical and modern models in deep learning. The primary focus is on the theory and algorithms of deep learning. The theory and algorithms of neural networks are particularly import…

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Alp Akpinar
Search for Invisible Decays of the Higgs Boson Produced via Vector Boson Fusion at the LHC with CMS Run 2 data

This thesis reports the latest measurements on one of the leading dark matter searches conducted by the Compact Muon Solenoid (CMS) experiment at CERN, leading to some of the most stringent constraints on…

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Michael Kubis, Silke Griewel, Michel Hoffmeister
Generative AI mit SAP

SAP Press

Entdecken Sie die vielfältigen Möglichkeiten von generativer KI im SAP-Umfeld! Dieses Buch zeigt Ihnen, wie Sie mit SAP AI Core, Generative AI Hub und weiteren SAP-Tools Schritt für Schritt einen maßgesch…

lieferbar ab 9.9.2025.

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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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Large-Scale Scientific Computations

Lecture Notes in Computer Science - Band 13952

This book constitutes the refereed proceedings of the 14th International Conference on Large-Scale Scientific Computations, LSSC 2023, held in Sozopol, Bulgaria, during June 5¿9, 2023. The 49 full papers …

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Federated Learning for Medical Imaging

Federated Learning for Medical Imaging: Principles, Algorithms, and Applications gives a deep understanding of the technology of federated learning (FL), the architecture of a federated system, and the al…

lieferbar ab 16.6.2025.

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Bosen Lian, Wenqian Xue, Bahare Kiumarsi, Hamidreza Modares
Integral and Inverse Reinforcement Learning for Optimal Control Systems and Games

Integral and Inverse Reinforcement Learning for Optimal Control Systems and Games develops its specific learning techniques, motivated by application to autonomous driving and microgrid systems, with brea…

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Groundwater in Arid and Semi-Arid Areas

This book provides comprehensive studies from Middle East, African countries and Asia including Afghanistan, Algeria, Egypt, India, Iraq, Kyrgyzstan, Tunisia and Turkey on groundwater management, modellin…

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Artificial Intelligence XLI

This two-volume set, LNAI 15446 and LNAI 15447, constitutes the refereed proceedings of the 44th SGAI International Conference on Artificial Intelligence, AI 2024, held in Cambridge, UK, during December 1…

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Artificial Intelligence XLI

This two-volume set, LNAI 15446 and LNAI 15447, constitutes the refereed proceedings of the 44th SGAI International Conference on Artificial Intelligence, AI 2024, held in Cambridge, UK, during December 1…

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Fan Liu, Liqiang Nie, Zhenyang Li
Multimodal Learning toward Recommendation

This book presents an in-depth exploration of multimodal learning toward recommendation, along with a comprehensive survey of the most important research topics and state-of-the-art methods in this area.F…

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Jeffrey G. Andrews, Harpreet S. Dhillon, Ahmad Alammouri, Abhishek K. Gupta
An Introduction to Cellular Network Analysis Using Stochastic Geometry

This book provides an accessible yet rigorous first reference for readers interested in learning how to model and analyze cellular network performance using stochastic geometry. In addition to the canonic…

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