Machine Learning-based Indoor Localization – alle Bücher, Seite 7

Metaheuristics for Enterprise Data Intelligence

With the emergence of the data economy, information has become integral to business excellence. Every enterprise, irrespective of its domain of interest, carries and processes a lot of data in their day-t…

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Cloud and Fog Optimization-based Solutions for Sustainable Developments

Cloud and Fog Optimization-based Solutions for Sustainable Developments discusses the integration of fog computing and the Internet of Things to provide scalable, secure, and cost-effective digital infras…

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Artificial Intelligence Technologies for Engineering Applications

This book enables the readers to design, optimize, and control complex systems with greater precision and efficiency. It further provides practical insights and presents case studies for readers intereste…

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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 …

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Chollet Francois
Deep Learning with Python, Third Edition

Manning Publications

The bestselling book on Python deep learning, now covering generative AI, Keras 3, PyTorch, and JAX!Deep Learning with Python, Third Edition puts the power of deep learning in your hands. This new edition…

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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 that g…

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Christian Borch
Trading Beyond Understanding

Currencies: New Thinking for Financial Times

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 that g…

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Yuqi Zhao
Harmonic Estimation and Forecasting in Sparsely Monitored Uncertain Power Systems

Springer Theses

This book tackles the technical challenges of integrating renewable energy sources into power grids to reduce exposure to significant financial and operational risks. It does so by introducing advanced me…

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Computational Optimization

Mathematical Methods in the Digital Age

Data science, quantitative analysis, computer optimisation, and machine learning are all explored in this book. Insightful mathematical analysis of ML models is presented in this work. Various fields, inc…

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Yuning Zhang, Chenxin Yang, Peng Luo, Heng Zhang
Advanced Signal Processing

SpringerBriefs in Energy

This brief explores advanced signal processing techniques, focusing on signal decomposition, entropy analysis, and machine learning, with applications in energy-related fields such as hydroturbines, wind …

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Dennis Tay
Machine Learning Meets Discourse

Routledge Studies in Linguistics

Tay explores the performance-interpretability trade-off (PIT) as a critical tension in artificial intelligence (AI) and machine learning (ML), and shows its distinctive form in discourse analysis where pr…

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Snehan Biswas, Amartya Mukherjee, Nilanjan Dey
A Beginner's Guide to Medical Application Development with Deep Convolutional Neural Networks

This book serves as a source of introductory material and reference for medical application development and related technologies by providing the detailed implementation of cutting-edge deep learning meth…

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Digital Sustainability

Digital Sustainability: Navigating Entrepreneurship in the Information Age explores the intersection of technology and sustainability, offering a panoramic view of innovative strategies and solutions for …

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Cloud of Things

Cloud computing is the on-demand availability of computer system resources, especially data storage and computing power, without direct active management by the user. This book explores algorithms, protoc…

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Social Internet of Things (SIoT) and Machine Learning-Enhancing Interconnectivity and Intelligence

This book offers readers an innovative perspective on how intelligent networks can evolve beyond simple device-to-device communication, enabling social interaction, adaptive learning, and predictive intel…

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Pedagogies of Machine Learning

The fourth edition of Schools of Departure is devoted to the use of technology in post-Bauhaus design education: in the second half of the twentieth century, universities and research institutions were sw…

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Jamuna S Murthy, Siddesh G M
Introduction to Generative AI

Introduction to Generative AI : Theoretical Foundations, Analysis and Practical Use CasesGenerative Artificial Intelligence is reshaping how we create, learn, and imagine. This book offers a clear and com…

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Ethical Artificial Intelligence in Power Electronics

This book focuses on the techniques of artificial intelligence that are mainly used in the power electronics field for the optimization of lost vehicle power. With the intention of optimizing the powerful…

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AI and Emerging Technologies

In the past decade, artificial intelligence (AI) has made significant advancements in various sectors of society, such as education, health, e-commerce, media and entertainment, banking and finance, trans…

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Elliot Arledge
Cuda for Deep Learning

Get the eBook free when you register your print book at Manning.CUDA (Compute Unified Device Architecture) provides a powerful parallel programming model AI engineers can use to tap the massive processing…

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