Learning Algorithms – alle Bücher

Optimization, Learning Algorithms and Applications

The two-volume set CCIS 2617 and 2618 constitutes the refereed post-conference proceedings of the 5th International Conference on Optimization, Learning Algorithms and Applications, OL2A 2025, held in Ses…

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Optimization, Learning Algorithms and Applications

.- Optimization in the SDG context. .- Application of Continuous and Periodic Review Models to Optimize Inventory Management in Dynamic Demand Scenarios. .- Social Context in Fake News Diffusion. .- Integ…

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Optimization, Learning Algorithms and Applications

This two-volume set, CCIS 2280 and CCIS 2281, constitutes the proceedings of the 4th International Conference on Optimization, Learning Algorithms and Applications, OL2A 2024, held in Tenerife, Spain, in …

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Optimization, Learning Algorithms and Applications

This two-volume set, CCIS 2280 and CCIS 2281, constitutes the proceedings of the 4th International Conference on Optimization, Learning Algorithms and Applications, OL2A 2024, held in Tenerife, Spain, in …

lieferbar innerhalb 2-3 Wochen

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Machine Learning and Deep Learning Modeling and Algorithms with Applications in Medical and Health Care

This book explains medical image processing and analysis using deep learning algorithms to analyze medical data. It focuses on the latest achievements and developments in applying this analysis to medical…

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Prashad
Optimization Algorithms for Machine Learning: Theory and Practice

In the realm of machine learning, optimization algorithms play a pivotal role in refining models for optimal performance. These algorithms, ranging from classic gradient descent to advanced techniques lik…

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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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Edward Dongbo Cui
Vectorization

Enables readers to develop foundational and advanced vectorization skills for scalable data science and machine learning and address real-world problemsOffering insights across various domains such as com…

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Oleksandr Kuznetsov
Intelligent Systems: From Theory to Applications

"Dedication.- Acknowledgments.- Foreword.- Preface.- About This Book.- Acronyms.- 1".- " Introduction to Intelligent Systems".- "2. The Evolution of Artificial Intelligence".…

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Vaibhav Verdhan
Models and Algorithms for Unlabelled Data

Discover all-practical implementations of the key algorithms and models for handling unlabeled data. Full of case studies demonstrating how to apply each technique to real-world problems. In Models and Al…

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Massih-Reza Amini
Advanced Supervised and Semi-supervised Learning

Machine learning is one of the leading areas of artificial intelligence. It concerns the study and development of quantitative models that enable a computer to carry out operations without having been exp…

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Christina Berns
Die Gouvernementalität von Algorithmen

¿Die digitale Transformation ist eine Einbahnstraße in ein kybernetisches Zeitalter. Intelligente Maschinen nehmen den Menschen dort als steuernde Kraft allmählich das Zepter aus der Hand.¿Der Einzug präd…

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Suparna Biswas
Machine Learning and Deep Learning in Human Activity Recognition and Fall Detection

Signals and Communication Technology

This book presents research into the domain of Human Activity Recognition (HAR) and Fall Detection (FD), with a focus on the seamless monitoring and support of elderly people. The author shows how current…

lieferbar ab 25.1.2026.

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Yong Zhou, Wenzhi Fang, Yuanming Shi, Khaled B. Letaief
Federated Edge Learning

This book presents various effective schemes from the perspectives of algorithms, architectures, privacy, and security to enable scalable and trustworthy Federated Edge Learning (FEEL). From the algorithm…

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Hang Wang, Sen Lin, Junshan Zhang
Continual and Reinforcement Learning for Edge AI

This book provides a comprehensive introduction to continual and reinforcement learning for edge AI, which investigates how to build an AI agent that can continuously solve new learning tasks and enhance …

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Elliot Lichtman
The Computer Always Wins

An engaging and approachable resource for beginning-to-intermediate coders eager to learn advanced ideas in computer programming.In The Computer Always Wins, Elliot Lichtman will teach you some of compute…

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Constantin Gonciulea, Charlee Stefanski
Building Quantum Software in Python

A developer-centric look at quantum computing.The demand for developers who can implement solutions with quantum resources is growing larger every day. Building Quantum Software with Python gives you the …

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Rishal Hurbans
Grokking AI Algorithms, Second Edition

Understand the algorithms that underpin AI, from classic to cutting-edge.Artificial intelligence algorithms are the backbone of search and optimization, deep learning, reinforcement learning, and, of cour…

lieferbar ab 27.3.2026.

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Josh Simons
Algorithms for the People

How to put democracy at the heart of AI governanceArtificial intelligence and machine learning are reshaping our world. Police forces use them to decide where to send police officers, judges to decide who…

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Sydney Marie Simone Curtis, Victoria Desimoni, Max Crumley-Effinger, Florin D. Salajan
The Technological-Industrial Complex and Education

This Pivot book looks at the ways in which disruptive technologies, datafication, and Artificial Intelligence (AI) are shaping Comparative and International (CIE) Education and leading to its platformizat…

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