Machine Learning (ML) – alle Bücher, Seite 3

Global Mental Health and Public Health Challenges and Innovation

This book constitutes the refereed proceedings of the First international conference on Global Mental Health and Public Health Challenges and Innovation, held in Ranchi, Jharkhand, India, in November 25-2…

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Ali Othman Albaji
Machine Learning for Environmental Noise Classification in Smart Cities

We present a Machine Learning (ML) approach to monitoring and classifying noise pollution. Both methods of monitoring and classification have been proven successful. MATLAB and Python code was generated t…

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Broadband Communications, Networks, and Systems

This two-volume set, LNICST 601 and LNICST 602, constitutes the refereed post-conference proceedings of the 14th International Conference on Broadband Communications, Networks, and Systems, BROADNETS 2024…

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Broadband Communications, Networks, and Systems

This two-volume set, LNICST 601 and LNICST 602, constitutes the refereed post-conference proceedings of the 14th International Conference on Broadband Communications, Networks, and Systems, BROADNETS 2024…

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Protecting and Mitigating Against Cyber Threats

The book provides invaluable insights into the transformative role of AI and ML in security, offering essential strategies and real-world applications to effectively navigate the complex landscape of toda…

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Xiaoxia Li
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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Resve A Saleh, Sohaib Majzoub, A K MD Ehsanes Saleh
Fundamentals of Robust Machine Learning

An essential guide for tackling outliers and anomalies in machine learning and data science.In recent years, machine learning (ML) has transformed virtually every area of research and technology, becoming…

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Machine Learning Technologies on Energy Economics and Finance

This book explores the latest innovations in energy economics and finance, with a particular focus on the role of machine learning algorithms in advancing the energy sector. It examines key factors shapin…

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Vidya Subramanian
Applied Machine Learning for Data Science Practitioners

A single-volume reference on data science techniques for evaluating and solving business problems using Applied Machine Learning (ML). This book provides an excellent, practical compendium of the foundati…

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Harnessing AI, Machine Learning, and IoT for Intelligent Business

This book is a comprehensive guide that explores the integration of artificial intelligence (AI), machine learning (ML), and the Internet of Things (IoT) in the realm of business management and finance. T…

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2 Bücher

Computational Intelligence for Autonomous Finance

The book serves as an essential guide and a deep dive into the intersection of AI and finance, providing readers with a thorough understanding of the current state, challenges, and future possibilities of…

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Maurizio Petrelli
Machine Learning for Earth Sciences

This textbook introduces the reader to Machine Learning (ML) applications in Earth Sciences. In detail, it starts by describing the basics of machine learning and its potentials in Earth Sciences to solve…

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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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Sanam
Machine Learning for Missing Maps: A Collaboration to Improve Disaster Relief

Disaster strikes, but where's the map? Traditional maps often lack details in vulnerable areas. Here's where machine learning (ML) and a collaborative project called Missing Maps team up to improve disast…

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Jim Dowling
Building Machine Learning Systems with a Feature Store

Get up to speed on a new unified approach to building machine learning (ML) systems with batch data, real-time data, and large language models (LLMs) based on independent, modular ML pipelines and a share…

lieferbar ab 30.11.2025.

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Vikram Elango, Vivek Gangasani, Shreyas Subramanian
AWS Certified AI Practitioner Study Guide

Sybex Study Guide

Quickly and intelligently prepare for the AIF-C01 exam and succeed in your first role as an AWS AI practitionerIn AWS Certified AI Practitioner Study Guide: Foundational (AIF-C01) Exam, a team of veteran …

lieferbar ab 28.10.2025.

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Leslye Denisse Dias Duran
Machine Learning in Medical Diagnosis

This book seeks to navigate between the optimism that has arisen from the promise of the potential of machine learning (ML) in healthcare, and the lack of clarity about what realistic risks and benefits w…

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IoT Sensors, ML, AI and XAI: Empowering A Smarter World

This book uncovers and presents various real-life applications in the areas of transportation, smart cities, manufacturing, agriculture, disaster management, finance, health care and in other areas by usi…

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Sandeep
Beyond the Visible: Predicting Metal Breakdown with Machine Learning

Our eyes can't see the enemy within, but machine learning (ML) can! Metal looks strong, but tiny processes lead to its breakdown ¿ rust. ML goes beyond the visible, analyzing vast amounts of data to predi…

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National Academies of Sciences Engineering and Medicine, Division On Earth And Life Studies, Board On Life Sciences, Committee on Biotechnology Capabilities for National Security Needs - Leveraging Advances in Transdisciplinary Biotechnology
Strategic Report on Research and Development in Biotechnology for Defense Innovation

At the request of the National Security Commission on Emerging Biotechnology, Strategic Report on Research and Development in Biotechnology for Defense Innovation provides an overview of the current lands…

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