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

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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Positioning and Navigation Using Machine Learning Methods

Navigation: Science and Technology - Band 14

This is the first book completely dedicated to positioning and navigation using machine learning methods. It deals with ground, aerial, and space positioning and navigation for pedestrians, vehicles, UAVs…

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Machine Learning in Astronomy (IAU S368)

Proceedings of the International Astronomical Union Symposia and Colloquia

Today's astronomical observatories are generating more data than ever, from surveys to deep images. Machine learning methods can be a powerful tool to harness the full potential of these new observatories…

lieferbar in mind. 4 Wochen

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Artificial Intelligence and Machine Learning for Sustainable Development

Artificial Intelligence and Machine Learning for Sustainable Development is a comprehensive exploration of how artificial intelligence (AI) and machine learning (ML) technologies are revolutionizing the f…

lieferbar in mind. 4 Wochen

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Machine Learning and Big Data-enabled Biotechnology

The book discusses how Machine Learning and Big Data is and can be used in biotechnology for a wide breath of topics. It is separated into three main parts, with the first covering DNA and ranging from ?s…

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Machine Learning for Data-Centric Geotechnics

Challenges in Geotechnical and Rock Engineering

Machine learning and other digital technologies fed with large datasets offer a major set of tools for practical geotechnical design. Large language models and other generative AIs can perform cognitive t…

lieferbar ab 25.8.2026.

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Machine Learning for Real World Applications

Transactions on Computer Systems and Networks

This book provides a comprehensive coverage of machine learning techniques ranging from fundamental to advanced. The content addresses topics within the scope of the book from the ground up, providing rea…

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Michael Koller, Oliver de Candido
Machine Learning in Safety-Critical Applications

Designed as a jumping-off point for engineers and decision-makers, this book provides a broad view of machine learning safety. It gives a validation road-map for developers and users of safety-critical sy…

lieferbar ab 11.9.2026.

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Marcos M. Lopez de Prado
Machine Learning for Asset Managers

Successful investment strategies are specific implementations of general theories. An investment strategy that lacks a theoretical justification is likely to be false. Hence, an asset manager should conce…

lieferbar in mind. 4 Wochen

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Moritz Hardt
The Emerging Science of Machine Learning Benchmarks

The first comprehensive introduction to benchmarking, the engine behind progress in AIIn machine learning, researchers split their data into training and test sets, let model builders compete on the test …

lieferbar ab 1.12.2026.

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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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Parimal Pal Chaudhuri, Adip Dutta, Somshubhro Pal Choudhury, Dipanwita Roy Chowdhury
New Kind of Machine Learning-Cellular Automata Model

This book introduces the CAML model, a novel integration of Cellular Automata (CA) and Machine Learning (ML), designed to deliver ecient computation with minimal training data and low computing resources.…

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Data Science and Machine Learning

This book constitutes the proceedings of the 22nd Australasian Conference on Data Science and Machine Learning, AusDM 2024, held in Melbourne, Victoria, Australia, during November 25--27, 2024.The 19 full…

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Uncertainty, Optimization and Machine Learning with Applications

Mathematics for Sustainable Developments

This book is a collection of select chapters on topics related to uncertainty, optimization techniques and machine learning applications, emphasizing applications that directly address topics related to f…

lieferbar ab 6.10.2026.

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Benjamin Hao
Build a Machine Learning Platform (From Scratch)

Get a free eBook (PDF or ePub) from Manning as well as access to the online liveBook format (and its AI assistant that will answer your questions in any language) when you purchase the print book.Deliveri…

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Mashallah Rezakazemi, Kiran Mustafa, Rao Muhammad Mahtab Mahboob
Machine Learning for Membrane Separation Applications

Machine Learning for Membrane Separation Applications covers the importance of polymeric membranes in separation processes and explains how machine learning is taking these processes to the next level. As…

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Namrata Manohar, Mousmi Ajay Chaurasia, Stefan Mozar, Chia-Feng Juang
Machine Learning Applications in Renewable Energy

This book presents the need for Renewable Energy Technologies (RET) in the context of providing a solution for the depletion of conventional resources, protecting the environment and enhancing the economi…

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Machine Learning in Medical Imaging

Lecture Notes in Computer Science - Band 16241

This book constitutes the refereed proceedings of the 16th International Workshop on Machine Learning in Medical Imaging, MLMI 2025, held in Conjunction with MICCAI 2025, Daejeon, South Korea, on Septembe…

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

Studies in Systems, Decision and Control - Band 667

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…

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Matthew Guzdial, Sam Snodgrass, Adam Summerville
Procedural Content Generation via Machine Learning

Synthesis Lectures on Games and Computational Intelligence

This second edition updates and expands upon the first beginner-focused guide to Procedural Content Generation via Machine Learning (PCGML), which is the use of computers to generate new types of content …

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