Trefferliste "Data Science And Machine Learning" - alle Bücher und LPs

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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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Buch

Machine Learning, Deep Learning, and Blockchain

This book constitutes the refereed proceedings of Fourth International Research Conference on Machine Learning, Deep Learning, and Blockchain, IRCICD 2023, held in Chennai, India, during April 28--29, 202…

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Transforming Agricultural Management for a Sustainable Future

"Transforming Agricultural Management for a Sustainable Future: Climate Change and Machine Learning Perspectives" is an essential read for anyone interested in the future of agriculture and the …

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Buch

Protecting and Mitigating Against Advanced 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…

lieferbar ab 29.7.2025.

Buch

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 approachesFew areas of technology have greater potential to revolutionize the globe than artifi…

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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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Buch

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 a…

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Machine Learning, Deep Learning and AI for Cybersecurity

This book addresses a variety of problems that arise at the interface between AI techniques and challenging problems in cybersecurity. The book covers many of the issues that arise when applying AI and de…

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Buch

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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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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Buch

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:*The basics of probability and statistics:*These chapters focus on t…

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Buch

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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Buch

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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Buch

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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Buch

Alex Ruiz de Villa
Causal Inference for Data Science

From the Back Cover:Causal Inference for Data Science introduces data-centric techniques and methodologies you can use to estimate causal effects. The book dives into the relationship between causal infer…

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Buch

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 …

lieferbar innerhalb 2-3 Wochen

Buch

Big Data and Data Science Engineering

This book reports state-of-the-art results in big data and data science engineering in both printed and electronic forms. Studies in computation intelligence (SCI) has grown into the most comprehensive co…

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Big Data and Data Science Engineering

The book reports state-of-the-art results in Big Data and Data Science Engineering in both printed and electronic form. Studies in Computation Intelligence (SCI) has grown into the most comprehensive comp…

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Buch

Big Data and Data Science Engineering

This book reports state-of-the-art results in Big Data and Data Science Engineering in both printed and electronic form. Studies in Computation Intelligence (SCI) has grown into the most comprehensive com…

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Buch

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