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

Laurence Moroney
AI and ML for Coders in PyTorch

Eager to learn AI and machine learning but unsure where to start? Laurence Moroney's hands-on, code-first guide demystifies complex AI concepts without relying on advanced mathematics. Designed for progra…

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Chad Sanderson, Mark Freeman
Data Contracts

Poor data quality can cause major problems for data teams, from breaking revenue-generating data pipelines to losing the trust of data consumers. Despite the importance of data quality, many data teams st…

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Machine Learning Applications for Intelligent Energy Management

As carbon dioxide (CO2) emissions and other greenhouse gases constantly rise and constitute the main contributor to climate change, temperature rise and global warming, artificial intelligence, big data, …

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Mark Levene, Martyn Harris
Just Enough Data Science and Machine Learning

An accessible introduction to applied data science and machine learning, with minimal math and code required to master the foundational and technical aspects of data science.In Just Enough Data Science an…

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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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Mazin A. M. Al Janabi
Liquidity Dynamics and Risk Modeling

This book presents a high-quality contribution to the applications of modern financial algorithms for liquidity risk management and its practical uses and applications to investable portfolios and mutual …

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Machine Learning Applications in Medicine and Biology

This book combines selected papers from the 2022 IEEE Signal Processing in Medicine and Biology Symposium (IEEE SPMB) held at Temple University. The symposium presents multidisciplinary research in the li…

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Alex Soto Bueno, Markus Eisele, Natale Vinto
Applied AI for Enterprise Java Development

As a Java enterprise developer or architect, you know that embracing AI isn't just optional--it's critical to keeping your competitive edge. The question is, how can you skillfully incorporate these groun…

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Denisse L. Argote, Pedro A. López-García, Manuel A. Torres-García
Machine Learning for Archaeological Applications in R

This Element highlights the employment within archaeology of classification methods developed in the field of chemometrics, artificial intelligence, and Bayesian statistics. It also provides a detailed ex…

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Computation of Artificial Intelligence and Machine Learning

The two-volume set, CCIS 2184-2185, constitutes the refereed proceedings of the First International Conference on Computation of Artificial Intelligence and Machine Learning, ICCAIML 2024, held in Jaipur,…

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Vidya Subramanian
Applied Machine Learning for Data Science Practitioners

Applied Machine Learning for Data Science Practitioners Vidya SubramanianA single-volume reference on data science techniques for evaluating and solving business problems using Applied Machine Learning (M…

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Applying Machine Learning in Science Education Research

This open access textbook offers science education researchers a hands-on guide for learning, critically examining, and integrating machine learning (ML) methods into their science education research proj…

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Ulisses Braga-Neto
Fundamentals of Pattern Recognition and Machine Learning

This book is a concise but thorough introduction to the tools commonly used in pattern recognition and machine learning, including classification, dimensionality reduction, regression, and clustering, as …

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Computation of Artificial Intelligence and Machine Learning

The two-volume set, CCIS 2184-2185, constitutes the refereed proceedings of the First International Conference on Computation of Artificial Intelligence and Machine Learning, ICCAIML 2024, held in Jaipur,…

lieferbar innerhalb 2-3 Wochen

Buch

Statistical Machine Learning for Engineering with Applications

This book offers a leisurely introduction to the concepts and methods of machine learning. Readers will learn about classification trees, Bayesian learning, neural networks and deep learning, the design o…

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Bernd Heesen
Artificial Intelligence and Machine Learning with R

In a VUCA world, which is becoming increasingly volatile, uncertain, and complex, companies, organizations, and states must respond promptly and adequately to the respective situations. Making decisions b…

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Elisa Farri, Gabriele Rosani
HBR Guide to Generative AI for Managers

Leverage gen AI to save time, innovate faster, and lead effectively.You're probably aware that generative AI can output quality text and create stunning images in seconds. But smart managers are now using…

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Denisse L. Argote, Pedro A. López-García, Manuel A. Torres-García
Machine Learning for Archaeological Applications in R

This Element highlights the employment within archaeology of classification methods developed in the field of chemometrics, artificial intelligence, and Bayesian statistics. It also provides a detailed ex…

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Daniela Rus, Gregory Mone
The Mind's Mirror

Imagine a technology capable of discovering new drugs in days instead of years, helping scientists map distant galaxies and decode the language of whales, and aiding the rest of us in mundane daily tasks,…

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Daniela Rus, Gregory Mone
The Heart and the Chip

There is a robotics revolution underway. A record 3.1 million robots are working in factories right now, doing everything from assembling computers to packing goods and monitoring air quality and performa…

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