Thema Maschinelles Lernen – alle Bücher, Seite 2

Wei Cai
Deterministic, Stochastic, and Deep Learning Methods for Computational Electromagnetics

This book provides a well-balanced and comprehensive picture based on clear physics, solid mathematical formulation, and state-of-the-art useful numerical methods in deterministic, stochastic, deep neural…

lieferbar innerhalb 2-3 Wochen

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Dany Cajas
Advanced Portfolio Optimization

This book is an innovative and comprehensive guide that provides readers with the knowledge about the latest trends, models and algorithms used to build investment portfolios and the practical skills nece…

lieferbar innerhalb 2-3 Wochen

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Jeff Calder, Peter J. Olver
Linear Algebra, Data Science, and Machine Learning

Springer Undergraduate Texts in Mathematics and Technology

This text provides a mathematically rigorous introduction to modern methods of machine learning and data analysis at the advanced undergraduate/beginning graduate level. The book is self-contained and req…

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Antonio Candelieri, Andrea Ponti, Francesco Archetti
Multiple Information Source Bayesian Optimization

SpringerBriefs in Optimization

The book provides a comprehensive review of multiple information sources and multi-fidelity Bayesian optimization, specifically focusing on the novel "Augmented Gaussian Process" methodology. Th…

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Federica Cavicchio
Emotion Detection in Natural Language Processing

Synthesis Lectures on Human Language Technologies

This book provides a practical guide on annotating emotions in natural language data and showcases how these annotations can improve Natural Language Processing (NLP) and Natural Language Understanding (N…

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Umair B. Chaudhry, Hamid Jahankhani
Autonomous Revolution: Strategies, Threats and Challenges

Advanced Sciences and Technologies for Security Applications

This book offers a comprehensive dive into the rapidly evolving world of autonomous vehicles and their pivotal role in modern data collection and mission-critical operations. From unmanned vehicles (UVs) …

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Pin-Yu Chen, Sijia Liu
Introduction to Foundation Models

This book offers an extensive exploration of foundation models, guiding readers through the essential concepts and advanced topics that define this rapidly evolving research area. Designed for those seeki…

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Chi-Bin Cheng, Huan-Jyh Shyur
Flight Safety Management

This book offers a comprehensive overview of using artificial intelligence and quantitative approaches in many phases of flight safety management, from proactive assessment of potential risks of flights b…

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Francisco Chinesta, Angelo Pasquale, Dominique Baillargeat, Elías Cueto
A Gentle Introduction to Data, Learning, and Model Order Reduction

Studies in Big Data - Band 174

This open access book explores the latest advancements in simulation performance, driven by model order reduction, informed and augmented machine learning technologies and their combination into the so-ca…

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Noémie C. Combe, Philippe G. Combe, Hanna K. Nencka
Exploring Information Geometry

Frontiers in Mathematics

This book offers a clear and accessible pathway into information geometry for advanced undergraduate and graduate students. Readers will be guided from the fundamentals of topology and differentiable mani…

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Herkulaas Combrink
Computational Infodemiology

SpringerBriefs in Computer Science

Computational Infodemiology is a novel discipline that maps the indicators that underpin digital discourse. Being able to fundamentally map belief systems within a scale free network and provide a framewo…

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Erik Cuevas, Fernando Vega-Parra, Jesus Sierra-Rangel, Oscar A. Gonzalez-Sanchez
Inside Metaheuristics

SpringerBriefs in Intelligent Systems

This book provides a comprehensive and structured exploration of the fundamental mechanisms that govern metaheuristic optimization methods. Rather than cataloging existing algorithms, it focuses on the bu…

lieferbar in mind. 4 Wochen

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Danilo Promotion Ltd
Doctor Who - The Classic Edition 2027 - Wandkalender

Browntrout Wandkalender, Wall-Kalender

Der praktische Monats-Kalender von Danilo ist zum Aufklappen (30,5 x 30,5 cm, aufgeklappt 30,5 x 61 cm). Er bietet 12 verschiedene, sorgfältig ausgewählte Bilder mit meist kurzen Informationen zum Bildinh…

lieferbar ab 30.9.2026.

Kalender

Jeremiah D. Deng
Machine Learning with Julia

Machine Learning: Foundations, Methodologies, and Applications

This textbook offers a comprehensive and accessible introduction to machine learning with the Julia programming language. It bridges mathematical theory and real-world practice, guiding readers through bo…

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Chiara Di Francescomarino, Ivan Donadello, Fabrizio Maria Maggi
Predictive Process Monitoring

This book provides a comprehensive, structured, and accessible resource that covers both foundational aspects and advanced topics of predictive process monitoring (PPM). It introduces the key building blo…

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Yao Ding, Zhili Zhang, Haojie Hu, Fang He
Graph Neural Network for Feature Extraction and Classification of Hyperspectral Remote Sensing Images

Intelligent Perception and Information Processing

This book deals with hyperspectral image classification using graph neural network methods, focusing on classification model designing, graph information dissemination, and graph construction. In the book…

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Hamza Farooq
Build an LLM Application (From Scratch)

Get the eBook free when you register your print book at Manning.Retrieval Augmented Generation---RAG---is now the standard way to improve LLM accuracy and relevance. But building production-grade RAG syst…

lieferbar ab 2.12.2026.

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Fernando Filgueiras
Artificial Intelligence and Public Policy

In a global landscape increasingly shaped by technology, artificial intelligence (AI) is emerging as a disruptive force, redefining not only our daily lives but also the very essence of governance. This E…

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Fernando Filgueiras
Artificial Intelligence and Public Policy

In a global landscape increasingly shaped by technology, artificial intelligence (AI) is emerging as a disruptive force, redefining not only our daily lives but also the very essence of governance. This E…

lieferbar innerhalb 2-3 Wochen

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Yaniv Fox
Using Generative AI in Historical Practice

'Using Generative AI in Historical Practice' argues that generative models are reshaping historical scholarship. Rejecting medium - and long -term speculation, it focuses on near-term practice: how histor…

lieferbar in mind. 4 Wochen

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