Learning Algorithms – alle Bücher, Seite 3

Mariya
Folding the Future: Machine Learning Revolutionizes Protein Structure Prediction

Folding the Future" unfolds the exciting revolution in protein structure prediction powered by machine learning. For decades, scientists struggled to understand the complex 3D shapes proteins fold into, w…

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Maria Han Veiga, François Gaston Ged
The Mathematics of Machine Learning

De Gruyter Textbook

This book is an introduction to machine learning, with a strong focus on the mathematics behind the standard algorithms and techniques in the field, aimed at senior undergraduates and early graduate stude…

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Robert Osazuwa Ness
Causal AI

Build AI models that can reliably deliver causal inference. How do you know what might have happened, had you done things differently? Causal AI gives you the insight you need to make predictions and con…

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Iqbal H. Sarker
AI-Driven Cybersecurity and Threat Intelligence

This book explores the dynamics of how AI (Artificial Intelligence) technology intersects with cybersecurity challenges and threat intelligence as they evolve. Integrating AI into cybersecurity not only o…

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Forthcoming Networks and Sustainability in the AIoT Era

This book introduces a groundbreaking approach to enhancing IoT device security, providing a comprehensive overview of its applications and methodologies. Covering a wide array of topics, from crime predi…

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Cyber Malware

This book provides the foundational aspects of malware attack vectors and appropriate defense mechanisms against malware. The book equips readers with the necessary knowledge and techniques to successfull…

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Low Field Pediatric Brain Magnetic Resonance Image Segmentation and Quality Assurance

This open access LNCS volume 15515 constitutes the refereed proceedings of the First MICCAI Challenge on Low Field Pediatric Brain Magnetic Resonance Image Segmentation and Quality Assurance, LISA 2024, H…

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Anthony Elliott
Algorithms of Anxiety

Machine learning algorithms are widely presumed to herald a world in which the crippling burdens of anxiety can be left behind. The digital revolution promises a brave new world where individuals, commun…

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Guillaume Mercère
Data Driven Model Learning for Engineers

The main goal of this comprehensive textbook is to cover the core techniques required to understand some of the basic and most popular model learning algorithms available for engineers, then illustrate th…

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Harnessing Automation and Machine Learning for Resource Recovery and Value Creation

Harnessing Automation and Machine Learning for Resource Recovery and Value Creation: From Waste to Value provides a comprehensive understanding of how automation and machine learning technologies can be u…

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Michael Lutter
Inductive Biases in Machine Learning for Robotics and Control

One important robotics problem is How can one program a robot to perform a task ? Classical robotics solves this problem by manually engineering modules for state estimation, planning, and control. In co…

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Sanobar
Leveraging New Paradigms for Enhanced Mobile Network Security

The mobile landscape is evolving, and traditional security methods struggle to keep pace. New paradigms are emerging, offering a chance to leapfrog current limitations. Artificial intelligence (AI) stands…

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The AI Revolution

This book presents an overview of the vast landscape of artificial intelligence (AI) in the media industry, more specifically in the audiovisual sector.Readers are guided through the fundamental pillars o…

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Deep Learning Techniques for Automation and Industrial Applications

This book provides state-of-the-art approaches to deep learning in areas of detection and prediction, as well as future framework development, building service systems and analytical aspects in which arti…

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Eklas Hossain
Machine Learning Crash Course for Engineers

Machine Learning Crash Course for Engineers is a reader-friendly introductory guide to machine learning algorithms and techniques for students, engineers, and other busy technical professionals. The book …

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Parkar
Smart Dams: Beyond Visual

Visual inspections have long been the cornerstone of dam safety, but the future lies in "smart dams." These go beyond surface checks, employing a network of sensors embedded within the dam itself. These s…

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Nevena Rankovic, Ljubomir Lazi¿, Mirjana Ivanovic, Dragica Rankovi¿
Recent Advances in Artificial Intelligence in Cost Estimation in Project Management

This book focuses on the practical application of AI tools and techniques in software project management, offering detailed theoretical explanations and practical examples of over 40 state-of-the-art mach…

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Joachim Steinwendner, Roland Schwaiger
Programming Neural Networks with Python

Neural networks are at the heart of AI-so ensure you're on the cutting edge with this guide! For true beginners, get a crash course in Python and the mathematical concepts you'll need to understand and cr…

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Abdussalam Elhanashi, Sergio Saponara
Deep Learning in Action: Image and Video Processing for Practical Use

Artificial intelligence technology has entered an extraordinary phase of fast development and wide application. The techniques developed in traditional AI research areas, such as computer vision and objec…

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James
Unlocking the Power of Streaming Data: Online Learning for Diverse Applications

Data streams are de ned as large sequences of data, gathered from sources such as sensor networks and customer click streams, that are possibly in nite and temporarily ordered [7, 22]. Instances in data s…

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