Machinelearning – Bücher, LPs, CDs und mehr, Seite 8

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

Jeremy Budd, Yves van Gennip
Differential Equations and Variational Methods on Graphs

Cambridge Monographs on Applied and Computational Mathematics

The burgeoning field of differential equations on graphs has experienced significant growth in the past decade, propelled by the use of variational methods in imaging and by its applications in machine le…

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Christian Morten Schierholz
Methods of Machine Learning for Analysis and Decoupling of Power Delivery Networks on Printed Circuit Boards

Berichte aus der Elektrotechnik

Increasing challenges in the design process of power delivery networks on printed circuit boards require new and adapted tools. Therefore, in this thesis artificial neural networks are investigated to enh…

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Stefan Sandfeld
Materials Data Science

Introduction to Data, Data Mining, and Prediction in Materials Science.- A Primer on Probabilities, Distributions and Statistics.- Introduction to Statistical Machine Learning.- Artificial Neural Networks…

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Protecting and Mitigating Against Cyber Threats

The book provides invaluable insights into the transformative role of AI and ML in security, offering essential strategies and real-world applications to effectively navigate the complex landscape of toda…

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Wuchen Li, Bernhard Schmitzer, Gabriele Steidl, François-Xavier Vialard
Variational and Information Flows in Machine Learning and Optimal Transport

This book is based on lectures given at the Mathematisches Forschungsinstitut Oberwolfach on "Computational Variational Flows in Machine Learning and Optimal Transport".Variational and stochasti…

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Yen-Wei Chen, Xiang Ruan, Rahul Kumar Jain
Recent Advances in Logo Detection Using Machine Learning Paradigms

This book presents the current trends in deep learning-based object detection framework with a focus on logo detection tasks. It introduces a variety of approaches, including attention mechanisms and doma…

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Leslye Denisse Dias Duran
Machine Learning in Medical Diagnosis

This book seeks to navigate between the optimism that has arisen from the promise of the potential of machine learning (ML) in healthcare, and the lack of clarity about what realistic risks and benefits w…

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Jesse van Griensven Thé, Roydon Andrew Fraser, Jose Rosas-Bustos
Quantum Computing and Quantum Machine Learning for Engineers and Developers

This book guides readers from the foundations of quantum mechanics through advanced quantum algorithms (such as Shor's and Grover's) and state-of-the-art machine learning methods. By illustrating how thes…

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Advances in Machine Learning and Big Data Analytics II

Springer Proceedings in Mathematics & Statistics - Band 442

In the dynamic landscape of technology, machine learning and big data analytics have emerged as transformative forces, reshaping industries and empowering innovation. Machine learning, a subset of artific…

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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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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…

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Artificial Intelligence and Machine Learning for Industry 4.0

This book is essential for any leader seeking to understand how to leverage intelligent automation and predictive maintenance to drive innovation, enhance productivity, and minimize downtime in their manu…

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Machine Learning for Networking

Lecture Notes in Computer Science - Band 15540

.- Learning per-flow SD-WAN load-balancing policies. .- Survey on Federated Learning in Smart Healthcare. .- Complex Communication Networks Management with Distributed AI:Challenges and Open Issues. .- A …

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Alex Bueno, Markus Eisele, Natale Vinto
Applied AI for Enterprise Java Development

As a Java enterprise developer or architect, you know that embracing AI isn't just optional--it's critical to keeping your competitive edge. The question is, how can you skillfully incorporate these groun…

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David A Wood
Implementation and Interpretation of Machine and Deep Learning to Applied Subsurface Geological Problems

Implementation and Interpretation of Machine and Deep Learning to Applied Subsurface Geological Problems: Prediction Models Exploiting Well-Log Information explores machine and deep learning models for su…

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Advancing Healthcare Through Decision Intelligence

Advancing Healthcare through Decision Intelligence: Machine Learning, Robotics, and Analytics in Biomedical Informatics demonstrates real-world applications of decision intelligence - specifically machine…

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Benjamin Tan Wei Hao, Shanoop Padmanabhan, Varun Mallya
Machine Learning Platform Engineering

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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Resve A Saleh, Sohaib Majzoub, A K MD Ehsanes Saleh
Fundamentals of Robust Machine Learning

An essential guide for tackling outliers and anomalies in machine learning and data science.In recent years, machine learning (ML) has transformed virtually every area of research and technology, becoming…

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Machine Learning Perspectives of Agent-Based Models

Agent-Based Models and the Economics of Crisis.- The Machine Learning perspective.- Setting up Agent-Based Models of Crisis (Microeconomic Model of Crisis; Virus on a Network Spread Model).- Developing mo…

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