Machine And Deep Learning Models – alle Bücher, LPs und CDs, Seite 8

Proceedings of the Third ICMDS'24: Machine Learning, Inverse Problems and Related Fields

This book offers innovative insights into the integration of machine learning and inverse problems, showcasing cutting-edge methodologies that enhance computational efficiency and accuracy. By leveraging …

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Rabia Riad, Frederic Ros
Feature and Dimensionality Reduction for Clustering with Deep Learning

This book presents an overview of recent methods of feature selection and dimensionality reduction that are based on Deep Neural Networks (DNNs) for a clustering perspective, with particular attention to …

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Deep Learning for Advanced X-ray Detection and Imaging Applications

This book provides a comprehensive overview of the latest advances in applying Artificial Intelligence (AI) to advanced X-ray imaging, with a particular focus on its medical applications. Readers will dis…

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The 9th International Conference on Advanced Machine Learning Technologies and Applications (AMLTA'25), Volume 2

Lecture Notes on Data Engineering and Communications Technologies - Band 274

This volume explores the forefront of AI innovation in building secure, sustainable, and intelligent systems. From adaptive blockchain solutions for IoT and advances in photonic quantum computing to DNS-b…

lieferbar ab 15.11.2025.

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Recent Advances in Machine Learning Techniques and Sensor Applications for Human Emotion, Activity Recognition and Support

This book explores integrating machine learning techniques and sensor applications for human emotion and activity recognition, creating personalized and effective support systems. It covers state-of-the-a…

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Francisco Chinesta, Angelo Pasquale, Dominique Baillargeat, Elías Cueto
A Gentle Introduction to Data, Learning, and Model Order Reduction

Abstract.- Extended summary.- Part 1.Around Data.- Part 2.Around Learning.- Part 3. Around Reduction.- Part 4. Around Data Assimilation & Twinning.

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The 9th International Conference on Advanced Machine Learning Technologies and Applications (AMLTA'25). Volume 1

Lecture Notes on Data Engineering and Communications Technologies - Band 273

This volume showcases transformative AI research addressing real-world challenges across healthcare, education, law, and digital security. Highlights include explainable deep learning for berry classifica…

lieferbar ab 17.11.2025.

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Emerging Trends and Applications of Deep Learning for Biomedical Data Analysis

Emerging Trends and Applications of Deep Learning for Biomedical Data Analysis introduces the latest emerging trends and applications of deep learning in biomedical data analysis. This book delves into va…

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Carsten Holst
Automated Flank Wear Segmentation and Measurement with Deep Learning Image Processing

This thesis optimizes AI models for identifying tool wear on microscopic images of cutting tools. It creates a tool wear model from empirical trials to generate a dataset and conducts screening analysis t…

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Using Shared Mental Models and Organisational Learning to Support Safety and Security Through Cyberspace: A Computational Analysis Approach

Ensuring patient safety and security through cyberspace requires that all care professionals operate as a team and community . In order to be successful, it is of paramount importance that all members of …

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Yannick Lingelbach
Application of Data Mining and Machine Learning Methods to Industrial Heat Treatment Processes for Hardness Prediction

This work presents a data mining framework applied to industrial heattreatment (bainitization and case hardening) aiming to optimize processes and reduce costs. The framework analyses factors such as mate…

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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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João Manuel R. S. Tavares, Diogo R. M. Bastos
Advances in Gait-Based Identification

This book provides a systematic review of gait-based person identification, categorizing studies into deep-learning and non-deep-learning approaches while analyzing key datasets and performance metrics. I…

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Pam Baker
Agentic AI for Dummies

An easy-to-follow guide to demystifying Agentic AI, the next step in the evolution of artificial intelligenceAgentic AI is the next big leap in artificial intelligence. Agentic systems don't just respond …

lieferbar ab 27.1.2026.

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Christian Borch
Trading Beyond Understanding

"Machine learning is fundamentally transforming financial markets. Where trading strategies were once crafted by human experts--executed manually or through pre-coded rules--firms now build models th…

lieferbar ab 10.3.2026.

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Christian Borch
Trading Beyond Understanding

"Machine learning is fundamentally transforming financial markets. Where trading strategies were once crafted by human experts--executed manually or through pre-coded rules--firms now build models th…

lieferbar ab 10.3.2026.

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Steven W Knox
Machine Learning

New edition of a PROSE award finalist title on core concepts for machine learning, updated with the latest developments in the field, now with Python and R source code side-by-sideMachine Learning is a co…

lieferbar ab 4.2.2026.

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Chisom Nwokwu
Data Engineering for Beginners

A hands-on technical and industry roadmap for aspiring data engineersIn Data Engineering for Beginners, big data expert Chisom Nwokwu delivers a beginner-friendly handbook for everyone interested in the f…

lieferbar ab 11.11.2025.

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Steve Wilson
The Developer's Playbook for Large Language Model Security

"Large language models (LLMs) are not just shaping the trajectory of AI, they're also unveiling a new era of security challenges. This practical book takes you straight to the heart of these threats.…

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Ben Greenberg
Vector Search with JavaScript

Cut through the complexity and apply AI-driven vector search strategies to deliver smarter, more intuitive search experiences that keep users engaged.Make search results smarter and more useful for everyd…

lieferbar ab 4.11.2025.

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