Machine Learning, – Bücher, CDs, LPs und mehr, Seite 5

Cyber Security, Cryptology, and Machine Learning

This volume constitutes the proceedings of 9th International Symposium on Cyber Security, Cryptology, and Machine Learning, CSCML 2025, in Be'er Sheva, Israel, during December 4--5, 2025.The 17 regular pa…

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Dario Cabianca
AWS Certified Machine Learning Engineer Study Guide

Sybex Study Guide

Prepare for the AWS Machine Learning Engineer certification exam quickly and efficientlyThe AWS^®^ Certified Machine Learning Engineer Study Guide is a comprehensive resource for complete coverage of the …

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Pramod Gupta, Naresh Kumar Sehgal, John M. Acken
Introduction to Machine Learning with Security

This book provides an introduction to machine learning, security and cloud computing, from a conceptual level, along with their usage with underlying infrastructure. The authors emphasize fundamentals and…

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Prashad
Optimization Algorithms for Machine Learning: Theory and Practice

In the realm of machine learning, optimization algorithms play a pivotal role in refining models for optimal performance. These algorithms, ranging from classic gradient descent to advanced techniques lik…

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Tsung-Wu Ho
Time Series Forecasting using Machine Learning

Preface.- Chapter 1 Time Series Basics in R.- Chapter 2 Predictive Time Series Modelling.- Chapter 3 Forecasting using Machine Learning Methods.- Chapter 4 Special Topics.- Chapter 5 Predictive Case Studi…

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Adversarial Example Detection and Mitigation Using Machine Learning

This book offers a comprehensive exploration of the emerging threats and defense strategies in adversarial machine learning and AI security. It covers a broad range of topics, from federated learning atta…

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Ulisses Braga-Neto
Fundamentals of Pattern Recognition and Machine Learning

This book is a concise but thorough introduction to the tools commonly used in pattern recognition and machine learning, including classification, dimensionality reduction, regression, and clustering, as …

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Charu C. Aggarwal
Linear Algebra and Optimization for Machine Learning

Preface.- 1 Linear Algebra and Optimization: An Introduction.- 2 Linear Transformations and Linear Systems.- 3 Eigenvectors and Diagonalizable Matrices.- 4 Optimization Basics: A Machine Learning View.- 5…

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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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Benedikt Sterr
Machine learning aided multiscale mechanics of fiber suspensions

We present a Fast-Fourier-Transform (FFT) based computational approach to computing the viscous stress response of rigid fibers suspended in a non-Newtonian medium. We identify closed-form models for the …

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Vijayakumar P
Data Mining & Warehousing Tech Machine Learning Concepts

This unique compendium elaborates the basic perceptions of data warehouses and data mining. The former part of the book covers concepts like introduction to data warehouses, the need for using such data w…

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Social Internet of Things (SIoT) and Machine Learning-Enhancing Interconnectivity and Intelligence

This book offers readers an innovative perspective on how intelligent networks can evolve beyond simple device-to-device communication, enabling social interaction, adaptive learning, and predictive intel…

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Machine Learning, Optimization, and Data Science

The three-volume set LNAI 15508-15510 constitutes the refereed proceedings of the 10th International Conference on Machine Learning, Optimization, and Data Science, LOD 2024, held in Castiglione della Pes…

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Machine Learning, Optimization, and Data Science

The three-volume set LNAI 15508-15510 constitutes the refereed proceedings of the 10th International Conference on Machine Learning, Optimization, and Data Science, LOD 2024, held in Castiglione della Pes…

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Generative Machine Learning Models in Medical Image Computing

Generative Machine Learning Models in Medical Image Computing" provides a comprehensive exploration of generative modeling techniques tailored to the unique demands of medical imaging. This book pres…

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Predrag S. Stanimirovi¿, Yimin Wei, Shuai Li, Dimitrios Gerontitis
Generalized Matrix Inversion: A Machine Learning Approach

Background Information.- 2 Gradient Neural Network (GNN) and their Modifications.- 3 Zeroing Neural Network (ZNN).- 4 From iterations to ZNNs and vice versa, 5 Modified ZNN dynamical systems.

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Reduction, Approximation, Machine Learning, Surrogates, Emulators and Simulators

Lecture Notes in Computational Science and Engineering - Band 151

This volume is focused on the review of recent algorithmic and mathematical advances and the development of new research directions for Mathematical Model Approximations via RAMSES (Reduced order models, …

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Machine Learning Technologies on Energy Economics and Finance

This book explores the latest innovations in energy economics and finance, with a particular focus on the role of machine learning algorithms in advancing the energy sector. It examines key factors shapin…

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Eric W. Bridgeford, Alexander R. Loftus, Joshua T. Vogelstein
Hands-On Network Machine Learning with Python

Bridging theory and practice in network data analysis, this guide offers an intuitive approach to understanding and analyzing complex networks. It covers foundational concepts, practical tools, and real-w…

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Computational Intelligence for Machine Learning and Healthcare Informatics

This book presents a variety of techniques designed to enhance and empower multi-disciplinary and multi-institutional machine learning research in healthcare informatics. It is intended to provide a uniqu…

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