Knowledge Made Simple Harnessing Knowledge Bases For Real World Solutions
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Knowledge Made Simple Harnessing Knowledge Bases For Real World Solutions
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Author : Pasquale De Marco
language : en
Publisher: Pasquale De Marco
Release Date : 2025-04-06
Knowledge Made Simple Harnessing Knowledge Bases For Real World Solutions written by Pasquale De Marco and has been published by Pasquale De Marco this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-06 with Technology & Engineering categories.
In a world awash with data, knowledge has become the ultimate currency. Knowledge base systems (KBSs) have emerged as powerful tools for capturing, organizing, and applying knowledge to solve complex problems and make informed decisions. This comprehensive book provides a thorough introduction to the field of KBSs, guiding readers through the fundamental concepts, technologies, and applications of these systems. Written in a clear and engaging style, this book is accessible to readers from diverse backgrounds, including students, researchers, practitioners, and business professionals. The book begins by introducing the basic concepts of KBSs, including knowledge representation, knowledge acquisition, and knowledge reasoning. It then delves into the various architectures and technologies used to build KBSs, covering both traditional and cutting-edge approaches. The book also provides a comprehensive overview of the applications of KBSs across a wide range of domains, including healthcare, finance, manufacturing, retail, and government. One of the key strengths of this book is its focus on practical applications. The authors draw upon real-world case studies and examples to illustrate how KBSs are being used to address real-world problems and drive innovation. Readers will gain valuable insights into the challenges and opportunities associated with KBS development and deployment. This book is also unique in its emphasis on the ethical and societal implications of KBSs. As these systems become more sophisticated and pervasive, it is essential to consider their potential impact on society. The book explores the ethical considerations surrounding KBSs, such as privacy, bias, and accountability. It also discusses the potential benefits of KBSs for addressing global challenges, such as climate change and poverty. Whether you are a student seeking a comprehensive introduction to KBSs, a researcher looking to expand your knowledge, or a practitioner seeking to apply KBSs to solve real-world problems, this book is an invaluable resource. It provides a solid foundation in the field of KBSs and equips readers with the knowledge and skills necessary to harness the power of knowledge and drive innovation. If you like this book, write a review!
Development Of Knowledge Based Systems For Engineering
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Author : Carlo Tasso
language : en
Publisher: Springer
Release Date : 2014-05-04
Development Of Knowledge Based Systems For Engineering written by Carlo Tasso and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-04 with Science categories.
The goal of the volume is twofold: to help engineers to understand the design and development process and the specific techniques utilized for constructing expert systems in engineering and, secondly, to introduce computer specialists to significant applications of knowledge-based techniques in engineering. Among the authors are world famous experts of engineering and knowledge-based systems development.
Cloud Data Science Harnessing Azure Machine Learning With Python
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Author : Peter Jones
language : en
Publisher: Walzone Press
Release Date : 2025-01-12
Cloud Data Science Harnessing Azure Machine Learning With Python written by Peter Jones and has been published by Walzone Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-12 with Computers categories.
Unlock the full potential of your data with "Cloud Data Science: Harnessing Azure Machine Learning with Python." This comprehensive guide equips you with the knowledge and skills to leverage the power of Azure Machine Learning and the versatility of Python to innovate and streamline your machine learning workflows. From setting up your Azure Machine Learning workspace to deploying sophisticated models, this book covers essential techniques and advanced methodologies in a clear, practical format. Dive into core topics such as data management, automated machine learning workflows, model optimization, and real-time monitoring to ensure your projects are scalable, efficient, and effective. Whether you're a data scientist, machine learning engineer, or a professional seeking to enhance your understanding of cloud-based machine learning, this book offers invaluable insights and hands-on examples to help you transform vast amounts of data into actionable insights. Explore real-world case studies across various industries, learn to overcome common challenges, and discover best practices for implementing machine learning projects successfully. "Cloud Data Science: Harnessing Azure Machine Learning with Python" is your gateway to mastering data science in the cloud and advancing your professional capabilities in the future of technology.
The Deep Learning Architect S Handbook
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Author : Ee Kin Chin
language : en
Publisher: Packt Publishing Ltd
Release Date : 2023-12-29
The Deep Learning Architect S Handbook written by Ee Kin Chin and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-29 with Computers categories.
Harness the power of deep learning to drive productivity and efficiency using this practical guide covering techniques and best practices for the entire deep learning life cycle Key Features Interpret your models’ decision-making process, ensuring transparency and trust in your AI-powered solutions Gain hands-on experience in every step of the deep learning life cycle Explore case studies and solutions for deploying DL models while addressing scalability, data drift, and ethical considerations Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionDeep learning enables previously unattainable feats in automation, but extracting real-world business value from it is a daunting task. This book will teach you how to build complex deep learning models and gain intuition for structuring your data to accomplish your deep learning objectives. This deep learning book explores every aspect of the deep learning life cycle, from planning and data preparation to model deployment and governance, using real-world scenarios that will take you through creating, deploying, and managing advanced solutions. You’ll also learn how to work with image, audio, text, and video data using deep learning architectures, as well as optimize and evaluate your deep learning models objectively to address issues such as bias, fairness, adversarial attacks, and model transparency. As you progress, you’ll harness the power of AI platforms to streamline the deep learning life cycle and leverage Python libraries and frameworks such as PyTorch, ONNX, Catalyst, MLFlow, Captum, Nvidia Triton, Prometheus, and Grafana to execute efficient deep learning architectures, optimize model performance, and streamline the deployment processes. You’ll also discover the transformative potential of large language models (LLMs) for a wide array of applications. By the end of this book, you'll have mastered deep learning techniques to unlock its full potential for your endeavors.What you will learn Use neural architecture search (NAS) to automate the design of artificial neural networks (ANNs) Implement recurrent neural networks (RNNs), convolutional neural networks (CNNs), BERT, transformers, and more to build your model Deal with multi-modal data drift in a production environment Evaluate the quality and bias of your models Explore techniques to protect your model from adversarial attacks Get to grips with deploying a model with DataRobot AutoML Who this book is for This book is for deep learning practitioners, data scientists, and machine learning developers who want to explore deep learning architectures to solve complex business problems. Professionals in the broader deep learning and AI space will also benefit from the insights provided, applicable across a variety of business use cases. Working knowledge of Python programming and a basic understanding of deep learning techniques is needed to get started with this book.
Climate Literacy And Innovations In Climate Change Education
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Author : Ulisses M. Azeiteiro
language : en
Publisher: Springer
Release Date : 2018-01-13
Climate Literacy And Innovations In Climate Change Education written by Ulisses M. Azeiteiro and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-01-13 with Education categories.
This book addresses the links between climate change and the threats it poses to sustainable development, from a distance education perspective. Discussing current trends and challenges in sustainable development education, climate literacy and innovations in climate change education, it contributes to the global debate on the implementation of education for sustainability. It also assesses the role that e-learning can play in this process, addressing pedagogical concepts as well as the wide range of technological options now available.
Success And Failures Of Knowledge Based Systems In Real World Applications
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Author : Dentcho Batanov
language : en
Publisher:
Release Date : 1996
Success And Failures Of Knowledge Based Systems In Real World Applications written by Dentcho Batanov and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Expert systems (Computer science) categories.
Generative Ai With Amazon Bedrock
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Author : Shikhar Kwatra
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-07-31
Generative Ai With Amazon Bedrock written by Shikhar Kwatra and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-31 with Computers categories.
Become proficient in Amazon Bedrock by taking a hands-on approach to building and scaling generative AI solutions that are robust, secure, and compliant with ethical standards Key Features Learn the foundations of Amazon Bedrock from experienced AWS Machine Learning Specialist Architects Master the core techniques to develop and deploy several AI applications at scale Go beyond writing good prompting techniques and secure scalable frameworks by using advanced tips and tricks Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionThe concept of generative artificial intelligence has garnered widespread interest, with industries looking to leverage it to innovate and solve business problems. Amazon Bedrock, along with LangChain, simplifies the building and scaling of generative AI applications without needing to manage the infrastructure. Generative AI with Amazon Bedrock takes a practical approach to enabling you to accelerate the development and integration of several generative AI use cases in a seamless manner. You’ll explore techniques such as prompt engineering, retrieval augmentation, fine-tuning generative models, and orchestrating tasks using agents. The chapters take you through real-world scenarios and use cases such as text generation and summarization, image and code generation, and the creation of virtual assistants. The latter part of the book shows you how to effectively monitor and ensure security and privacy in Amazon Bedrock. By the end of this book, you’ll have gained a solid understanding of building and scaling generative AI apps using Amazon Bedrock, along with various architecture patterns and security best practices that will help you solve business problems and drive innovation in your organization.What you will learn Explore the generative AI landscape and foundation models in Amazon Bedrock Fine-tune generative models to improve their performance Explore several architecture patterns for different business use cases Gain insights into ethical AI practices, model governance, and risk mitigation strategies Enhance your skills in employing agents to develop intelligence and orchestrate tasks Monitor and understand metrics and Amazon Bedrock model response Explore various industrial use cases and architectures to solve real-world business problems using RAG Stay on top of architectural best practices and industry standards Who this book is for This book is for generalist application engineers, solution engineers and architects, technical managers, ML advocates, data engineers, and data scientists looking to either innovate within their organization or solve business use cases using generative AI. A basic understanding of AWS APIs and core AWS services for machine learning is expected.
Sustainability Planning And Collaboration In Rural Canada
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Author : Lars K. Hallström
language : en
Publisher: University of Alberta
Release Date : 2016-03-10
Sustainability Planning And Collaboration In Rural Canada written by Lars K. Hallström and has been published by University of Alberta this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-03-10 with Business & Economics categories.
In step with rural development initiatives across Canada today, these fourteen case studies examine the shift toward sustainability-based planning as a key element of community development. Further, they explore the growth of partnerships between communities and post-secondary institutions, which extend beyond research and education into community development practices, capacity building, and participatory action research. Rural development researchers, decision makers and elected officials at all levels of government, political scientists and policy analysts, and community engagement practitioners will benefit from Sustainability Planning and Collaboration in Rural Canada's ideal, rational progression-which mirrors the policy process itself-from problem identification to engagement, solutions, and evaluation. Contributors: Donald Alexander, Kirstine N. Baccar, Michael T. Barr, Mary A. Beckie, Moira Jean Calder, Meredith Carter, Yolande E. Chan, Sean Connelly, Jon M. Corbett, Anthony Davis, Jeff A. Dixon, David J.A. Douglas, Roger Epp, Kelly Green, Lars K. Hallström, Greg Halseth, Casey Hamilton, Karen L.F. Houle, Glen T. Hvenegaard, Melaine L. Irvine, Bernie Jones, Robert Keenan, Rhonda L.P. Koster, Ryan Lane, Sean Markey, Shelly McMann, L. Jane McMillan, Morgan E. Moffitt, Karen E. Morrison, Karsten Mündel, Craig Pollett, Kerry Prosper, Mark Roseland, Laura Ryser, Claire E. Sanders, Jennifer Sumner, Kelly Vodden, Marc von der Gonna, Shayne Wright.
Proceedings Of The 15th International Conference On Soft Computing And Pattern Recognition Socpar 2023
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Author : Anu Bajaj
language : en
Publisher: Springer Nature
Release Date :
Proceedings Of The 15th International Conference On Soft Computing And Pattern Recognition Socpar 2023 written by Anu Bajaj and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Perspectives And Opinions In Health Services
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Author : Andrea Cioffi
language : en
Publisher: Frontiers Media SA
Release Date : 2024-10-16
Perspectives And Opinions In Health Services written by Andrea Cioffi and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-16 with Medical categories.
This Research Topic includes high-quality Perspective articles and Opinion articles published in Frontiers in Health Services in 2022. The mission of the journal is to ultimately contribute to helping health systems improve both experiences and outcomes of patients, and make health systems more efficient. Perspective articles aim to present a viewpoint on a specific area within Health Services. The articles in this collection may discuss current advances and future directions and clearly present the author's perspective. Perspective articles should also provide an accurate presentation and citations of other authors’ work and may include original data as well as personal insights and opinions.