Learningmachines – Bücher, LPs, CDs und mehr, Seite 4

Shallow Learning vs. Deep Learning

This book explores the ongoing debate between shallow and deep learning in the field of machine learning. It provides a comprehensive survey of machine learning methods, from shallow learning to deep lear…

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Anna Dawid, Alexandre Dauphin, Julian Arnold
Machine Learning in Quantum Sciences

This book provides an accessible introduction to machine learning and demonstrates its applications in the quantum sciences. Readers will be equipped with the necessary tools to engage with emerging liter…

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

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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Sanam
Machine Learning for Missing Maps: A Collaboration to Improve Disaster Relief

Disaster strikes, but where's the map? Traditional maps often lack details in vulnerable areas. Here's where machine learning (ML) and a collaborative project called Missing Maps team up to improve disast…

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Yuhan Kang, Hao Gao, Zhu Han
Mean Field Guided Machine Learning

Preface.- Chapter 1 Overview of Mean Field Theory and Machine Learning.- Chapter 2 Mean Field Game and Machine Learning Basis.- Chapter 3 Opinion Evolution in Social Networks: Use Generative Adversarial N…

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Le Liang, Shi Jin, Hao Ye
Wireless Communications and Machine Learning

This concise single-semester textbook demonstrates cutting-edge concepts at the intersection of machine learning (ML) and wireless communications. Requiring no previous knowledge of ML, it includes over 2…

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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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Qiang Huang
Domain-informed Machine Learning for Smart Manufacturing

This book introduces the state-of-the-art understanding on domain-informed machine learning (DIML) for advanced manufacturing. Methods and case studies presented in this volume show how complicated engine…

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Jason Edwards
Adversarial Machine Learning

Enables readers to understand the full lifecycle of adversarial machine learning (AML) and how AI models can be compromisedAdversarial Machine Learning is a definitive guide to one of the most urgent chal…

lieferbar ab 12.2.2026.

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Krishna Garikipati
Data-driven Modelling and Scientific Machine Learning in Continuum Physics

This monograph takes the reader through recent advances in data-driven methods and machine learning for problems in science-specifically in continuum physics. It develops the foundations and details a num…

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

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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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 t…

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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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Kiran
Machine Learning for Metallic Corrosion Modeling: A Computational Exploration

Metal corrosion, from rusty cars to crumbling bridges, costs billions. Enter machine learning! This powerful tool analyzes vast amounts of data to predict and prevent corrosion. By simulating how metals i…

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Milind Sharma
The Quantamental Revolution

A big picture analysis of quantitative factor investing combined with practical tools and strategies, including the latest machine learning techniquesIn The Quantamental Revolution: Factor Investing in th…

lieferbar ab 17.3.2026.

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Marcos M López 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 ab 31.1.2026.

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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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Xiyuan Ma, Desheng Wu
Financial Fraud Detection Using Machine Learning

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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Umberto Michelucci
Fundamental Mathematical Concepts for Machine Learning in Science

This book is for individuals with a scientific background who aspire to apply machine learning within various natural science disciplines-such as physics, chemistry, biology, medicine, psychology and many…

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Kinky
Exploring Optimization Algorithms in Machine Learning: From Theory to Practice

Optimization algorithms in machine learning bridge theoretical foundations with practical applications, crucial for refining model performance. Techniques like gradient descent, stochastic gradient descen…

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