Natural Language Analytics With Generative Large Language Models
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Natural Language Analytics With Generative Large Language Models
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Author : Francisco S. Marcondes
language : en
Publisher: Springer Nature
Release Date : 2025-02-13
Natural Language Analytics With Generative Large Language Models written by Francisco S. Marcondes and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-13 with Computers categories.
This book explores the application of generative Large Language Models (LLMs) for extracting and analyzing data from natural language artefacts. Unlike traditional uses of LLMs, such as translation and summarization, this book focuses on utilizing these models to convert unstructured text into data that can be processed through the data science pipeline to generate actionable insights. The content is designed for professionals in diverse fields including cognitive science, linguistics, management, and information systems. It combines insights from both industry and academia to provide a comprehensive understanding of how LLMs can be effectively used for natural language analytics (NLA). The book details practical methodologies for implementing LLMs locally using open-source tools, ensuring data privacy and feasibility without the need for expensive infrastructure. Key topics include interpretant, mindset and cultural analysis, emphasizing the use of LLMs to derive soft data—qualitative information crucial for nuanced decision-making. The text also outlines the technical aspects of LLMs, including their architecture, token embeddings, and the differences between encoder-based and decoder-based models. By providing a case study and practical examples, the authors show how LLMs can be used to meet various analytical needs, making this book a valuable resource for anyone looking to integrate advanced natural language processing techniques into their data analysis workflows.
Business Intelligence And Data Analytics
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Author : Abhishek Verma
language : en
Publisher: Springer Nature
Release Date : 2025-02-24
Business Intelligence And Data Analytics written by Abhishek Verma and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-24 with Computers categories.
This book is a collection of the high-quality research articles presented at the International Conference on Business Intelligence and Data Analytics (BIDA 2024), organized by RV Institute of Management (RVIM), Bengaluru, India, during April 2024. The book covers state-of-the-art research articles from the researchers and practitioners working in the field of business intelligence, data analytics, decision support systems, data warehousing and data mining, big data analytics, predictive and prescriptive analytics, and machine learning for business applications and their real-world applications.
Deep Learning For Coders With Fastai And Pytorch
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Author : Jeremy Howard
language : en
Publisher: O'Reilly Media
Release Date : 2020-06-29
Deep Learning For Coders With Fastai And Pytorch written by Jeremy Howard and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-29 with Computers categories.
Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications. Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You’ll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. Train models in computer vision, natural language processing, tabular data, and collaborative filtering Learn the latest deep learning techniques that matter most in practice Improve accuracy, speed, and reliability by understanding how deep learning models work Discover how to turn your models into web applications Implement deep learning algorithms from scratch Consider the ethical implications of your work Gain insight from the foreword by PyTorch cofounder, Soumith Chintala
Business Information Systems
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Author : Krzysztof Węcel
language : en
Publisher: Springer Nature
Release Date : 2025-06-15
Business Information Systems written by Krzysztof Węcel and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-15 with Computers categories.
This book constitutes the proceedings of the 25th International Conference on Business Information Systems, BIS 2025, which took place in Poznan, Poland, during June 25-27, 2025. This year's theme was "AI-driven business transformation: challenges and opportunities". The 19 full papers and 4 short papers presented in this volume were carefully reviewed and selected from 54 submissions. The papers were organized in the following topical sections: Artificial intelligence in management; artificial intelligence for visualization; artificial intelligence for language processing; process mining; finance and privacy; data platforms and deployment; sustainable operations and smart automation.
Advancement In Business Analytics Tools For Higher Financial Performance
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Author : Gharoie Ahangar, Reza
language : en
Publisher: IGI Global
Release Date : 2023-08-08
Advancement In Business Analytics Tools For Higher Financial Performance written by Gharoie Ahangar, Reza and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-08 with Business & Economics categories.
The relentless growth of data in financial markets has boosted the demand for more advanced analytical tools to facilitate and improve financial planning. The ability to constructively use this data is limited for managers and investors without the proper theoretical support. Within this context, there is an unmet demand for combining analytical finance methods with business analytics topics to inform better investment decisions. Advancement in Business Analytics Tools for Higher Financial Performance explores the financial applications of business analytics tools that can help financial managers and investors to better understand financial theory and improve institutional investment practices. This book explores the value extraction process using more accurate financial data via business analytical tools to help investors and portfolio managers develop more modern financial planning processes. Covering topics such as financial markets, investment analysis, and statistical tools, this book is ideal for accountants, data analysts, researchers, students, business professionals, academicians, and more.
Update On Obesity An Issue Of Endocrinology And Metabolism Clinics Of North America
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Author : Caroline M. Apovian
language : en
Publisher: Elsevier Health Sciences
Release Date : 2025-02-11
Update On Obesity An Issue Of Endocrinology And Metabolism Clinics Of North America written by Caroline M. Apovian and has been published by Elsevier Health Sciences this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-11 with Medical categories.
In this issue of Endocrinology and Metabolism Clinics, guest editors Drs. Caroline M. Apovian and Dong Wook Kim bring their considerable expertise to the topic of Update on Obesity. Top experts in the field cover the latest research regarding weight loss drugs, drug safety, pharmacotherapy, AI, and nutritional/lifestyle changes for managing obesity. - Contains 15 relevant, practice-oriented topics including drug safety and pharmacovigilance of anti-obesity medications; obesity stigma; non-pharmacological treatment for obesity; artificial intelligence and obesity management; intermittent fasting and obesity; and more - Provides in-depth clinical reviews on obesity, offering actionable insights for clinical practice - Presents the latest information on this timely, focused topic under the leadership of experienced editors in the field. Authors synthesize and distill the latest research and practice guidelines to create clinically significant, topic-based reviews
Foundations Of Business Analytics
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Author : Yulia Kosarenko
language : en
Publisher: Canadian Scholars
Release Date : 2025-05-29
Foundations Of Business Analytics written by Yulia Kosarenko and has been published by Canadian Scholars this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-29 with Business & Economics categories.
Foundations of Business Analytics provides fundamental knowledge for business analytics students and professionals, starting from an understanding of the basic concepts of data, information, knowledge, and data life cycle and progressing to the management of analytics projects, the analytics architecture of an enterprise, and classification of analytics solutions. Written by a leading expert in business analytics, this essential text is enriched with references to key business analysis concepts, such as the importance of solving the right problem and analyzing stakeholder requirements to develop successful analytics solutions. Structured as a solid foundation for those new to the field of business analytics, this text provides the perfect entry point for students, the opportunity for professionals to upskill, or for managerial professionals to gain a better understanding of the value, benefits, and success factors of analytics. Foundations of Business Analytics is an essential resource for a wide audience including business, IT, and data science programs at North American colleges and universities that have courses focusing on introduction to business analytics, data analytics, or big data.
Ai Analytics And Strategic Decision Making
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Author : Anna Ujwary-Gil
language : en
Publisher: Taylor & Francis
Release Date : 2025-07-25
Ai Analytics And Strategic Decision Making written by Anna Ujwary-Gil and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-25 with Business & Economics categories.
AI, Analytics and Strategic Decision-Making is an insightful exploration into the transformative power of artificial intelligence and advanced analytics in business and policy contexts. This volume provides a unique blend of theoretical knowledge and practical applications, showcasing how AI and analytics are reshaping decision-making processes across multiple domains. From predicting high-growth firms using Random Forests to leveraging Large Language Models for process mining, this book offers an extensive look at the latest innovations in AI and their strategic implications. It explores diverse topics, including the role of knowledge management in Industry 4.0, AI-powered decision-making tools for individuals, and public policy-making through Internet Public Opinion Analysis. Each chapter provides a nuanced perspective on how AI and analytics tools—ranging from Social Network Analysis to agent-based modeling—can tackle real-world challenges, such as climate change, resource allocation, and productivity enhancement. AI, Analytics and Strategic Decision-Making will inspire entrepreneurs, policymakers, academics, and business strategists to think critically about the power of data-driven insights and AI technologies. This comprehensive resource dives into how innovative tools can foster informed decision-making, drive efficiency, and pave the way for strategic success in an increasingly complex world.
Social Data Analytics In The Cloud With Ai
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Author : Xuebin Wei
language : en
Publisher: CRC Press
Release Date : 2024-12-30
Social Data Analytics In The Cloud With Ai written by Xuebin Wei and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-30 with Technology & Engineering categories.
The rise of cloud computing and Generative artificial intelligence (AI) has revolutionized data analytics pipelines. Analysts can collect, store, and process vast datasets in the cloud with high availability and scalability, and also leverage Generative AI to query and visualize datasets in natural languages. This pioneering textbook provides a gateway for students, educators, and professionals to develop and enhance social data analytics capabilities with the latest cloud computing and AI technologies. The textbook introduces educational cloud resources from leading technology companies, begins with foundational concepts, and progresses to advanced techniques. Features The first textbook on cloud-based social data analytics with the assistance of Generative AI. Introduces educational cloud resources from leading technology companies like AWS, GitHub, and MongoDB. Presents a fully AI-powered data analytics pipeline from Python coding to data collection with APIs, cloud-based data storage, natural language queries, and interactive visualization. Analyzes Census and social media data with the latest large language models (LLMs). Provides hands-on exercises with real-world datasets on timely issues. This textbook is an excellent resource for upper-level undergraduate and graduate students taking GIS, Urban Informatics, Social Science Data Analysis, and Data Science courses; faculty members teaching such courses; and professionals and researchers interested in leveraging cloud computing and Generative AI in social data analytics.
Hybrid And Advanced Technologies
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Author : S. Prasad Jones Christydass
language : en
Publisher: CRC Press
Release Date : 2025-03-21
Hybrid And Advanced Technologies written by S. Prasad Jones Christydass and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-21 with Technology & Engineering categories.
The proceedings of the International Conference on Hybrid and Advanced Technologies (ICHAT 2024) present a rich repository of cutting-edge research on the various applications of machine learning, deep learning, and AI in cybersecurity, healthcare, agriculture and communication systems. It highlights the revolutionary potential of data science in transforming traditional practices, improving efficiency and accuracy across diverse domains and addressing complex real-world challenges. These proceedings contains innovative neural-network models for agriculture that can predict tractor fuel consumption and optimize smart irrigation, besides suggesting greenhouse automation for enhanced agricultural productivity. It also provides a roadmap for IoT-based monitoring systems for asthma patients and machine learning approaches for early detection of diabetes, cancer and aquatic plant ailments. Through an array of practical examples and comparative studies, the book further highlights advancements in machine learning for enhancing palm vein authentication, combating fake news, keeping data safe and improving customer segmentation in e-commerce. The findings would be instrumental in combating critical global issues and foster a deeper understanding of the role of AI in image processing, cybersecurity, medical diagnostics, and intelligent systems in the future. This will be a highly interesting guide to researchers, data scientists, and practicing professionals in the fields of artificial intelligence, machine learning, and cybersecurity. It will also be of interest to healthcare professionals, agricultural scientists, and technology enthusiasts in fostering global collaborations, exploring future challenges and opportunities and introducing state-of-the-art technologies to streamline processes.