Machine Learning For Business – alle Bücher und CDs, Seite 4

Artificial Intelligence and Machine Learning for Women's Health Issues

Artificial Intelligence and Machine Learning for Women's Health Issues discusses the applications, challenges, and solutions that machine learning can bring to women's health challenges. The book illustra…

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Harnessing Automation and Machine Learning for Resource Recovery and Value Creation

Harnessing Automation and Machine Learning for Resource Recovery and Value Creation: From Waste to Value provides a comprehensive understanding of how automation and machine learning technologies can be u…

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Sanam
Machine Learning for Missing Maps: A Collaboration to Improve Disaster Relief

Disaster strikes, but where's the map? Traditional maps often lack details in vulnerable areas. Here's where machine learning (ML) and a collaborative project called Missing Maps team up to improve disast…

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Maurizio Perticarini
Machine Learning and Mixed Reality for the Enhancement of Cultural Heritage

This book addresses the role of modern surveying and representation technologies in preserving and disseminating cultural heritage. A workflow is illustrated, describing the Former Monastery of Ss Severin…

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Statistical Modeling and Simulation for Experimental Design and Machine Learning Applications

This volume presents a selection of articles on statistical modeling and simulation, with a focus on different aspects of statistical estimation and testing problems, the design of experiments, reliabilit…

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Kerrie Holley, Manish Mathur
Llms and Generative AI for Healthcare

Large language models (LLMs) and generative AI are rapidly changing the healthcare industry. These technologies have the potential to revolutionize healthcare by improving the efficiency, accuracy, and pe…

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Internet of Things and Machine Learning for Type I and Type II Diabetes

Internet of Things and Machine Learning for Type I and Type II Diabetes: Use Cases provides a medium of exchange of expertise and addresses the concerns, needs, and problems associated with Type I and Typ…

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Marian Verhelst, Vikram Jain
Towards Heterogeneous Multi-core Systems-on-Chip for Edge Machine Learning

This book explores and motivates the need for building homogeneous and heterogeneous multi-core systems for machine learning to enable flexibility and energy-efficiency. Coverage focuses on a key aspect o…

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Smith
Empowering Prosumers: A Thesis on Machine Learning for Optimized Renewable Energy Management in Smart Grids

The increasing demand for energy coupled with the environmental concerns associated with fossil fuels necessitates a shift towards renewable energy sources. Solar, wind, geothermal, and hydro power offer …

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Recent Advances in Machine Learning Techniques and Sensor Applications for Human Emotion, Activity Recognition and Support

This book explores integrating machine learning techniques and sensor applications for human emotion and activity recognition, creating personalized and effective support systems. It covers state-of-the-a…

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Yannick Lingelbach
Application of Data Mining and Machine Learning Methods to Industrial Heat Treatment Processes for Hardness Prediction

This work presents a data mining framework applied to industrial heattreatment (bainitization and case hardening) aiming to optimize processes and reduce costs. The framework analyses factors such as mate…

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Robert Crowe, Hannes Hapke, Emily Caveness, Di Zhu
Machine Learning Production Systems

"Using machine learning for products, services, and critical business processes is quite different from using ML in an academic or research setting--especially for recent ML graduates and those moving fro…

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Nicolas Privault
Discrete Stochastic Processes

This text presents selected applications of discrete-time stochastic processes that involve random interactions and algorithms, and revolve around the Markov property. It covers recurrence properties of (…

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Shallow Learning vs. Deep Learning

This book explores the ongoing debate between shallow and deep learning in the field of machine learning. It provides a comprehensive survey of machine learning methods, from shallow learning to deep lear…

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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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Math Optimization for Artificial Intelligence

Mathematical Methods in the Digital Age - Band 2

This book explains the importance of AI mathematical optimization. It covers AI optimization's fundamental concepts, methodologies, and practical applications in machine learning, automation, NLP, and rea…

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Harvard Business Review, Ethan Mollick, David De Cremer, Tsedal Neeley
Generative Ai: The Insights You Need from Harvard Business Review

"The world is stunned and transfixed by the marvel (and possible menace) of ChatGPT and other generative AI tools. It's clear that they will transform the business landscape-exactly when and how much are …

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Chandrasekar Vuppalapati
Specialty Crops for Climate Change Adaptation

Specialty crops are defined as fruits and vegetables, tree nuts, dried fruits, horticulture, and nursery crops including floriculture. The value of specialty crop production in the United States accounted…

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Stefan Sandfeld
Materials Data Science

This text covers all of the data science, machine learning, and deep learning topics relevant to materials science and engineering, accompanied by numerous examples and applications. Almost all methods an…

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Creativity and Critique in Digital Learning and Teaching

"This book shares valuable practice for how to navigate innovative approaches in digital education environments that are attainable for staff and accessible and engaging for students."- Radka Newton, Dire…

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