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John Berryman, Albert Ziegler
Prompt Engineering for LLMs

Large language models (LLMs) are revolutionizing the world, promising to automate tasks and solve complex problems. A new generation of software applications are using these models as building blocks to u…

sofort lieferbar

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Vazgen Melikyan
Machine Learning-based Design and Optimization of High-Speed Circuits

This book describes machine learning-based new principles, methods of design and optimization of high-speed integrated circuits, included in one electronic system, which can exchange information between e…

lieferbar innerhalb 2-3 Wochen

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Mariyak
Enhancing Wastewater Analysis: A Data-Driven Approach with Machine Learning

Wastewater analysis, traditionally a meticulous but limited science, is undergoing a revolution. Machine learning (ML) is emerging as a powerful tool, transforming how we analyze wastewater and optimize t…

lieferbar innerhalb 2-3 Wochen

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Mary Regina Boland
Health Analytics with R

This textbook teaches health analytics using examples from the statistical programming language R. It utilizes real-world examples with publicly available datasets from healthcare and direct-to-consumer g…

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Machine Learning Methods for Multi-Omics Data Integration

The advancement of biomedical engineering has enabled the generation of multi-omics data by developing high-throughput technologies, such as next-generation sequencing, mass spectrometry, and microarrays.…

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Umberto Michelucci
Fundamental Mathematical Concepts for Machine Learning in Science

This book is for individuals with a scientific background who aspire to apply machine learning within various natural science disciplines such as physics, chemistry, biology, medicine, psychology and many…

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Erik Cuevas, Jorge Galvez, Omar Avalos, Fernando Wario
Machine Learning and Metaheuristic Computation

Learn to bridge the gap between machine learning and metaheuristic methods to solve problems in optimization approaches Few areas of technology have greater potential to revolutionize the globe than artif…

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Distributed Machine Learning and Computing

This book focuses on a wide range of distributed machine learning and computing algorithms and their applications in healthcare and engineering systems. The contributors explore how these techniques can b…

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Machine Learning and Intelligent Communication

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering -Band 518

This book constitutes the refereed post-conference proceedings of the 8th EAI International Conference on Machine Learning and Intelligent Communication, MLICOM 2023, which was held in Beijing, China, dur…

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Eduardo Bayro-Corrochano
Geometric Algebra Applications Vol. III

The goal of Geometric Algebra Applications Vol. III: Integral Transforms, Machine Learning, and Quantum Computing is to present a unified mathematical treatment of diverse problems in the general domain l…

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Olivier Caelen, Marie-Alice Blete
Developing Apps with GPT-4 and ChatGPT

"This book provides an ideal guide for Python developers who want to learn how to build applications with large language models. Authors Olivier Caelen and Marie-Alice Blete cover the main features and be…

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Machine Learning in Modeling and Simulation

Machine learning (ML) approaches have been extensively and successfully employed in various areas, like in economics, medical predictions, face recognition, credit card fraud detection, and spam filtering…

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Innovations in Machine and Deep Learning

In recent years, significant progress has been made in achieving artificial intelligence (AI) with an impact on students, managers, scientists, health personnel, technical roles, investors, teachers, and …

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Analytics, Machine Learning, and Artificial Intelligence

This book constitutes the refereed proceedings of the Second Analytics Global Conference on Analytics, Machine Learning, and Artificial Intelligence, AGC 2024, held in Kolkata, India, during March 6-7, 20…

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Charu C. Aggarwal
Probability and Statistics for Machine Learning

This book covers probability and statistics from the machine learning perspective. The chapters of this book belong to three categories: 1. The basics of probability and statistics: These chapters focus …

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Alex Ruiz de Villa
Causal Inference for Data Science

Causal Inference for Data Science introduces data-centric techniques and methodologies you can use to estimate causal effects. The numerous insightful examples show you how to put causal inference into pr…

lieferbar innerhalb 1-2 Wochen

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Advances in Mechanism and Machine Science

This book gathers the proceedings of the 16th IFToMM World Congress, which was held in Tokyo, Japan, on November 5 10, 2023. Having been organized every four years since 1965, the Congress represents the …

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Machine Learning for Econometrics and Related Topics

In the last decades, machine learning techniques especially techniques of deep learning led to numerous successes in many application areas, including economics. The use of machine learning in economi…

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Machine Learning for Indoor Localization and Navigation

While GPS is the de-facto solution for outdoor positioning with a clear sky view, there is no prevailing technology for GPS-deprived areas, including dense city centers, urban canyons, buildings and other…

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Patricia Piekenbrock
The Future as a Team Player

Experiencing knowledge at last! For me, for us, for everyone. Curiosity and enthusiasm are the key to the future - this is what the non-fiction book with its multimedia app stands for. It offers perspect…

lieferbar ab 15.4.2025.

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