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

Subhashis Mallick
Computation, Optimization, and Machine Learning in Seismology

AGU Advanced Textbooks

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

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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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Artificial Intelligence and Machine Learning in Sports Science

This professional book is one of the first book publications providing a comprehensive overview of how artificial intelligence (AI) and machine learning (ML) are used in the context of sports science rese…

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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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Wilson Tsakane Mongwe, Rendani Mbuvha, Tshilidzi Marwala
Bayesian Machine Learning in Quantitative Finance

This book offers a comprehensive discussion of the Bayesian inference framework and demonstrates why this probabilistic approach is ideal for tackling the various modelling problems within quantitative fi…

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Cyber Security, Cryptology, and Machine Learning

Lecture Notes in Computer Science - Band 16244

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

Synthesis Lectures on Engineering, Science, and Technology

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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James Burridge, Nick Tosh
Inference in Statistical Modelling and Machine Learning

Statistical modelling and machine learning offer a vast toolbox of inference methods with which to model the world, discover patterns and reach beyond the data to make predictions when the truth is not ce…

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Applied Machine Learning and Data Analytics

Communications in Computer and Information Science - Band 2636

This book constitutes the revised selected papers of the 7th International Conference on Applied Machine Learning and Data Analytics, AMLDA 2024, held in Shamshabad, India, during December 20--21, 2024.Th…

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James Burridge, Nick Tosh
Inference in Statistical Modelling and Machine Learning

Statistical modelling and machine learning offer a vast toolbox of inference methods with which to model the world, discover patterns and reach beyond the data to make predictions when the truth is not ce…

lieferbar in mind. 4 Wochen

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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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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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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

This textbook is the second edition of the linear algebra and optimization book that was published in 2020. The exposition in this edition is greatly simplified as compared to the first edition. The secon…

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Kai Li, Xin Yuan, Wei Ni
Security and Resilience in Distributed Machine Learning

Springer Series in Reliability Engineering

This book offers a comprehensive exploration of federated learning (FL), a novel approach to decentralized, privacy-preserving machine learning. This book delves into the resilience and security challenge…

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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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Yiran Chen, Hai Li, Huanrui Yang
Computer Engineering Machine Learning and Neural Networks

This is the first textbook focusing on practicality of machine learning (ML) and deep neural networks (DNN), by introducing methods that enable engineering applications of ML and DNN models. The authors d…

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Application of Machine Learning in Earth Sciences

Earth and Environmental Sciences Library

This book introduces the reader to applications of machine learning (ML) in Earth Sciences. In detail, it describes the basic application of machine learning algorithms and models and their potential in E…

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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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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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