Trefferliste "Machine Learning (ML)" - alle Bücher und CD-ROMs

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Viktoria Winter
AI/ML in Banken

Angesichts des fortschreitenden Einsatzes von Artificial Intelligence in österreichischen Retailbanken gewinnt die Frage, wie diese Technologie eingesetzt werden kann, zunehmend an Bedeutung. Es ist unbes…

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Buch

David Tan, Ada Leung, David Colls
Effective Machine Learning Teams

Gain the valuable skills and techniques you need to accelerate the delivery of machine learning solutions. With this practical guide, data scientists, ML engineers, and their leaders will learn how to bri…

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Buch

Kristen Kehrer, Caleb Kaiser
Machine Learning Upgrade

An end-to-end framework for developing Large Language Model (LLM)-based applications Traditionally, there has been a divide between data scientists and software engineers. With the advent of LLMs, however…

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Buch

Machine Learning for Networking

This book constitutes the refereed proceedings of the 6th International Conference on Machine Learning for Networking, MLN 2023, held in Paris, France, during November 28 30, 2023. The 18 full papers inc…

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Buch

Hybride KI mit Machine Learning und Knowledge Graphs

Seit den 2010er Jahren hat die Künstliche Intelligenz (KI) durch Erfolge im Machine Learning (ML) einen enormen Schub erfahren. Einerseits durch die stark angewachsene Menge verfügbarer digitaler Daten un…

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Elisa Bertino, Sonam Bhardwaj, Fabrizio Cicala, Sishuai Gong
Machine Learning Techniques for Cybersecurity

This book explores machine learning (ML) defenses against the many cyberattacks that make our workplaces, schools, private residences, and critical infrastructures vulnerable as a consequence of the drama…

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Artificial Intelligence

Intelligent Computing -Band 1

Artificial Intelligence (AI) revolves around creating and utilizing intelligent machines through science and engineering. This book delves into the theory and practical applications of computer science me…

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Buch

Machine Learning for Cyber Security

De Gruyter Series on the Applications of Mathematics in Engineering and Information Sciences, 15

This book shows how machine learning (ML) methods can be used to enhance cyber security operations, including detection, modeling, monitoring as well as defense against threats to sensitive data and secur…

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Buch

Samuel Ackerman, Guy Barash, Onn Shehory, Orna Raz
Theory and Practice of Quality Assurance for Machine Learning Systems

This book is a self-contained introduction to engineering and testing machine learning (ML) systems. It systematically discusses and teaches the art of crafting and developing software systems that includ…

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Buch

Tek Raj Chhetri
Improving Decision Making Using Semantic Web Technologies

As technology becomes integral to our lives, its influence on decision making in smart cities, healthcare, and manufacturing is undeniable. However, challenges such as limited contextual awareness, domain…

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Artificial Intelligence Techniques for Analysing Sensitive Data in Medical Cyber-Physical Systems

This book presents the major advances in techniques to preserve privacy and security requirements connected with the use of AI and machine learning (ML) to analyse and manage sensitive data in MCPSs. The …

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Buch

Artificial Intelligence in Performance-Driven Design

A definitive, interdisciplinary reference to using artificial intelligence technology and data-driven methodologies for sustainable design Artificial Intelligence in Performance-Driven Design: Theories, M…

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Buch

Federated Learning for Medical Imaging

Federated Learning for Medical Imaging: Principles, Algorithms, and Applications gives a deep understanding of the technology of federated learning (FL), the architecture of a federated system, and the al…

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Buch

The Impact of Algorithmic Technologies on Healthcare

The book explores the fundamental principles and transformative advancements in cutting-edge algorithmic technologies, detailing their application and impact on revolutionizing healthcare. This book provi…

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Navigating the Nexus

This book encompasses updated information as well as future directions for researchers working in the fields of environmental science, water resource engineering, and agricultural science. Navigating the …

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Buch

Anupam Bagchi, Pramod Gupta
Essentials of Python for Artificial Intelligence and Machine Learning

This book introduces the essentials of Python for the emerging fields of Machine Learning (ML) and Artificial Intelligence (AI). The authors explore the use of Python's advanced module features and apply …

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Applying Artificial Intelligence in Cybersecurity Analytics and Cyber Threat Detection

Comprehensive resource providing strategic defense mechanisms for malware, handling cybercrime, and identifying loopholes using artificial intelligence (AI) and machine learning (ML) Applying Artificial I…

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Buch

Machine Learning and Granular Computing: A Synergistic Design Environment

This volume provides the reader with a comprehensive and up-to-date treatise positioned at the junction of the areas of Machine Learning (ML) and Granular Computing (GrC). ML offers a wealth of architectu…

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Machine Intelligence, Tools, and Applications

This book presents the recent advances including tools and techniques in the constantly changing landscape of machine learning (ML). This would enable the readers with a strong understanding of critical i…

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Buch

Pepa Atanasova
Accountable and Explainable Methods for Complex Reasoning over Text

This thesis presents research that expands the collective knowledge in the areas of accountability and transparency of machine learning (ML) models developed for complex reasoning tasks over text. In part…

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