Learning Algorithms – alle Bücher, Seite 3

Badong Chen, Shuangming Yang
Neuromorphic Intelligence

This book provides a valuable resource on the design of neuromorphic intelligence, which serves as a computational foundation for building compact and low-power brain-inspired intelligent systems. The boo…

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Analytics Modeling in Reliability and Machine Learning and Its Applications

This book presents novel research and application chapters on topics in reliability, statistics, and machine learning. It has an emphasis on analytical models and techniques and practical applications in …

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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, communi…

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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, communi…

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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 in…

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Ruye Wang
Introduction to Machine Learning

Emphasizing how and why machine learning algorithms work, this introductory textbook bridges the gap between the theoretical foundations of machine learning and its practical algorithmic and code-level im…

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Machine Learning for Drone-Enabled IoT Networks

This book aims to explore the latest developments, challenges, and opportunities in the application of machine learning techniques to enhance the performance and efficiency of IoT networks assisted by aer…

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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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Machine Learning, Deep Learning and AI for Cybersecurity

This book addresses a variety of problems that arise at the interface between AI techniques and challenging problems in cybersecurity. The book covers many of the issues that arise when applying AI and de…

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Sustainable and Green Technologies for Water and Environmental Management

This book introduces a variety of the latest researches that are related to smart devices, machine learning algorithms, and the Internet of things that are applied for a sustainable environment. These rec…

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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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Eklas Hossain
Machine Learning Crash Course for Engineers

¿Machine Learning Crash Course for Engineersis 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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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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Jeff Edmonds
How to Think about Algorithms

Understand algorithms and their design with this revised student-friendly textbook. Unlike other algorithms books, this one is approachable, the methods it explains are straightforward, and the insights i…

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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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David Kopec
Computer Science From Scratch

You know how to write Python. Now master the computer science that makes it work.If you've been programming for a while, you may have found yourself wondering about the deeper principles behind the code. …

lieferbar ab 30.9.2025.

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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 …

lieferbar ab 4.10.2025.

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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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Machine Learning for Cyber Physical System: Advances and Challenges

This book provides a comprehensive platform for learning the state-of-the-art machine learning algorithms for solving several cybersecurity issues. It is helpful in guiding for the implementation of smart…

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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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