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Du¿an Stipanovi¿
Difference Equations and Machine Learning

Synthesis Lectures on Mathematics & Statistics

This book presents in-depth explanations of well-known and recognized behaviors of neural networks in machine learning. In addition, the author provides novel technical analyses of behaviors of discrete-t…

lieferbar innerhalb 2-3 Wochen

Buch

Galit Shmueli, Nitin R. Patel, Peter Gedeck, Peter C. Bruce
Machine Learning for Business Analytics

Machine Learning for Business Analytics: Concepts, Techniques, and Applications in Python is a comprehensive introduction to and an overview of the methods that underlie modern AI. This best-selling textb…

lieferbar in mind. 4 Wochen

Buch

Machine Learning in Water Treatment

Machine Learning in Water Treatment is a must-have for anyone interested in how artificial intelligence is transforming water treatment, offering practical insights, case studies, and a deep dive into cut…

lieferbar in mind. 4 Wochen

Buch

Automated Machine Learning and Industrial Applications

The book provides a comprehensive understanding of Automated Machine Learning's transformative potential across various industries, empowering users to seamlessly implement advanced machine learning solut…

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Buch

Machine Learning, Optimization, and Data Science

Lecture Notes in Computer Science

This two-volume set LNCS 16467-16468 constitutes the refereed proceedings of the 11th International Conference on Machine Learning, Optimization, and Data Science, LOD 2025, held in Castiglione della Pesc…

lieferbar ab 21.5.2026.

Buch

Boosting Software Development Using Machine Learning

Artificial Intelligence-Enhanced Software and Systems Engineering - Band 7

This book explores the transformative effects of AI and ML on software engineering. It emphasizes the potential of cutting-edge software development technologies such as Generative AI and ML applications.…

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Buch

Charu C. Aggarwal
Probability and Statistics for Machine Learning

This book covers probability and statistics from the machine learning perspective. The chapters of this book belong to three categories:The basics of probability and statistics: These chapters focus on th…

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From Machine Learning to Artificial Intelligence

Studies in Systems, Decision and Control - Band 572

The world is on a cusp of something great. Technology has advanced from solving simple issues to complex issues in both human life and other aspects such as social, economic, and environmental issues. The…

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2 Bücher

Sören Jalas
Machine Learning Based Optimization of Laser-Plasma Accelerators

Springer Theses

This book explores the application of machine learning-based methods, particularly Bayesian optimization, within the realm of laser-plasma accelerators. The book involves the implementation of Bayesian op…

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Buch

Durai Rajamanickam
Causal Inference for Machine Learning Engineers

.- Introduction to Causal Thinking. .- Treatments, Outcomes, and Confounding: Core Concepts. .- Causal Estimation Basics. .- Causal Graphs: Structure and Assumptions. .- Interventions and Counterfactuals.…

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Buch

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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Machine Learning for Sustainable Energy Solutions

Comprehensive insights into integrating modern engineering techniques with machine learning and renewable energy to create a more sustainable worldThrough an interdisciplinary approach, Machine Learning f…

lieferbar in mind. 4 Wochen

Buch

Cosmin Anitescu, Somdatta Goswami, Timon Rabczuk, Xiaoying Zhuang
Scientific Machine Learning with Engineering Applications

Studies in Systems, Decision and Control

This book equips readers with a rigorous and practical framework for solving complex engineering problems directly from governing equations using modern machine learning techniques. It bridges established…

lieferbar ab 13.5.2026.

Buch

Xiyuan Ma, Desheng Wu
Financial Fraud Detection Using Machine Learning

AI for Risks

Introduction.- The Definition of Financial Fraud.- The Basic Theory of Financial Fraud.- Financial Fraud Litigation and Forensic Accounting.- Resampling Techniques and Feature Selection.- Detection Models…

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Buch

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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Philosophy of Science for Machine Learning

This open access book offers a comprehensive and systematic debate on the key concepts and areas of application of the philosophy of science for machine learning. The current landscape of the debate about…

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Buch

Roshan Srivastav, Purna C. Nayak
Applications of Machine Learning in Hydroclimatology

The Springer Series in Applied Machine Learning

Applications of Machine Learning in Hydroclimatology is a comprehensive exploration of the transformative potential of machine learning for addressing critical challenges in water resources management. Th…

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Buch

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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Buch

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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Buch

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

1 Introduction To Bayesian Machine Learning In Quantitative Finance.- 2 Background To Bayesian Machine Learning In Quantitative Finance.- 3 On the Stochastic Alpha Beta Rho Model and Hamiltonian Monte Car…

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