Machine Learning Analysis – alle Bücher online kaufen

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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Larissa Bartok, Julia Spörk, Robin Gleeson, Maria Krakovsky
Anwendung statistischer und Machine-Learning-Methoden für Fragestellungen zu Studienerfolg

Analytics-Instrumente können dabei helfen, mehr über den Lern- und Studienerfolg von Studierenden herauszufinden und geeignete Maßnahmen zur Unterstützung von Studierenden abzuleiten. Zwei Projekte, die s…

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Machine Learning and Big Data Analytics

This edited volume on machine learning and big data analytics (Proceedings of ICMLBDA 2022) is intended to be used as a reference book for researchers and professionals to share their research and reports…

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Machine Learning Approaches in Financial Analytics

This book addresses the growing need for a comprehensive guide to the application of machine learning in financial analytics. It offers a valuable resource for both beginners and experienced professionals…

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Analytics Modeling in Reliability and Machine Learning and Its Applications

This book presents novel research and application chapters on topics in reliability, statistics, and machine learning. It has an emphasis on analytical models and techniques and practical applications in …

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Y Chen
Financial Data Analytics with Machine Learning, Op timization and Statistics

PRAISE FOR FINANCIAL DATA ANALYTICS"Really interesting, and an impressive masterpiece! Financial Data Analytics contains a rich amount of material, with original research findings in almost every cha…

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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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Advances in Machine Learning and Big Data Analytics I

This edited volume on machine learning and big data analytics (Proceedings of ICMLBDA 2023, that was held on May 29-30, 2023 by NERIST and NIT Arunachal Pradesh India) is intended to be used as a referenc…

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Machine Learning and Data Mining for Sports Analytics

This book constitutes the refereed proceedings of the 11th International Workshop on Machine Learning and Data Mining for Sports Analytics, MLSA 2024, held in Vilnius, Lithuania, on September 9, 2024.The …

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Machine Learning in Geohazard Risk Prediction and Assessment

Machine Learning in Geohazard Risk Prediction and Assessment: From Microscale Analysis to Regional Mappingpresents an overview of the most recent developments in machine learning techniques that have resh…

lieferbar ab 1.7.2025.

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Edward Dongbo Cui
Vectorization

Enables readers to develop foundational and advanced vectorization skills for scalable data science and machine learning and address real-world problemsOffering insights across various domains such as com…

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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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Janna Lipenkova
The Art of AI Product Development

A hands-on guide for delivering value with AI-driven products! Learn how AI can improve content creation, accelerate data analysis, and upgrade process automation.The Art of AI Product Development offers …

lieferbar ab 29.7.2025.

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Advancing Healthcare Through Decision Intelligence

Advancing Healthcare through Decision Intelligence: Machine Learning, Robotics, and Analytics in Biomedical Informatics demonstrates real-world applications of decision intelligence - specifically machine…

lieferbar ab 16.6.2025.

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Catherine Nelson
Software Engineering for Data Scientists

This practical book bridges the gap between data science and software engineering, clearly explaining how to apply the best practices from software engineering to data science.

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Katherine Munro, Danko Nikolic, Stefan Papp, Wolfgang Weidinger
The Handbook of Data Science and AI

A comprehensive overview of the various fields of application of data science and artificial intelligence.Case studies from practice to make the described concepts tangible.Practical examples to help you …

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Leemay Nassery
Next-Level A/B Testing

The better tools you have in your experimentation toolkit, the better off teams will be shipping and evaluating new features on a product. Learn how to create robust A/B testing strategies that evolve wit…

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Katherine Munro, Jeannette Gorzala, Gerald A. Hahn, Georg Langs
Handbuch Data Science und KI

Data Science, Big Data und künstliche Intelligenz gehören derzeit zu den Konzepten, über die in Industrie, Regierung und Gesellschaft am meisten diskutiert wird, die aber auch am meisten missverstanden we…

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Science, Engineering Management and Information Technology

This two-volume set constitutes selected papers presented during the Second International Conference on Science, Engineering Management and Information Technology, SEMIT 2023, held in Ankara, Turkey, duri…

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Science, Engineering Management and Information Technology

This two-volume set constitutes selected papers presented during the Second International Conference on Science, Engineering Management and Information Technology, SEMIT 2023, held in Ankara, Turkey, duri…

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