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Machine Learning in Molecular Sciences

Machine learning and artificial intelligence have propelled research across various molecular science disciplines thanks to the rapid progress in computing hardware, algorithms, and data accumulation. Thi…

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Gerald Friedland
Information-Driven Machine Learning

This groundbreaking book transcends traditional machine learning approaches by introducing information measurement methodologies that revolutionize the field. Stemming from a UC Berkeley seminar on exper…

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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…

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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…

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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…

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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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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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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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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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In Silico Clinical Trials for Cardiovascular Disease

This book covers in silico clinical trials of cardiovascular disease using a finite element and machine learning approach. Part I describes the fundamentals as well as the latest developments in the field…

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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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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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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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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…

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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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2 Bücher

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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Buch

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