Search Results - subject:"Data Science"

Data Science and Analytics for SMEs : Consulting, Tools, Practical Use Cases

Tolulope, Afolabi Ibukun - 2022

-to-medium businesses (SMEs). Written to help you hone your business analytics skills, this book applies data science techniques to help … solve problems and improve upon many aspects of a business' operations. SMEs are looking for ways to use data science and … will help to provide the knowledge leverage needed for implementing data science in small business. The demand of small …

Persistent link: https://www.econbiz.de/10013386108

Noise-Robust De-Duplication at Scale

Silcock, Emily; D'Amico-Wong, Luca; Yang, Jinglin; … - National Bureau of Economic Research - 2022

Identifying near duplicates within large, noisy text corpora has a myriad of applications that range from de-duplicating training datasets, reducing privacy risk, and evaluating test set leakage, to identifying reproduced news articles and literature within large corpora. Across these diverse...

Persistent link: https://www.econbiz.de/10013477218

Supply Chain Analytics : Concepts, Techniques and Applications

Liu, Yang - 2022

Chapter 1: Introduction -- Chapter 2: Data-drive Supply Chains & Intro to Python -- Chapter 3: Data Manipulation -- Chapter 4: Data Visualization -- Chapter 5: Customer Management -- Chapter 6: Supply Management -- Chapter 7: Warehouse & Inventory Management -- Chapter 8: Demand Management --...

Persistent link: https://www.econbiz.de/10013174044

Handbook on information sciences

Heisig, Peter (ed.) - 2024

"The Handbook on Information Sciences provides a comprehensive overview of the core themes within the discipline, including the organisation of information and how to manage data, and outlines avenues for future research. Discussions on the methodological evolution of the field are enriched by...

Persistent link: https://www.econbiz.de/10015195057

Linear algebra for data science, machine learning, and signal processing

Fessler, Jeffrey A.; Nadakuditi, Raj Rao - 2024

Maximise student engagement and understanding of matrix methods in data-driven applications with this modern teaching package. Students are introduced to matrices in two preliminary chapters, before progressing to advanced topics such as the nuclear norm, proximal operators and convex...

Persistent link: https://www.econbiz.de/10015160667

Enhancing business analytics through generative AI : integrating large language models with proprietary knowledge graphs for advanced data querying and visualization

Ivanov, Penko; Pavlova, Elitsa - In: Entrepreneurship, Innovation, and Technology : A …, (pp. 239-256). 2024

Persistent link: https://www.econbiz.de/10015142229

Cost-effective acquisition of first-party data for business analytics

Liu, Xiaoping; Li, Xiao-Bai - In: INFORMS journal on computing : JOC ; charting new … 36 (2024) 5, pp. 1242-1260

Persistent link: https://www.econbiz.de/10015164472

Federated explainable artificial intelligence (fXAI) : a digital manufacturing perspective

Kusiak, Andrew - In: International journal of production research 62 (2024) 1/2, pp. 171-182

Persistent link: https://www.econbiz.de/10014454722

Artificial Intelligence and Machine Learning with R : Applications in the Field of Business Analytics

Heesen, Bernd - 2024

Benefits of Machine Learning and Artificial Intelligence -- Machine Learning -- Best Practices -- Setting Up the R Development Environment -- Fundamentals of the R Programming Language -- Machine Learning with R -- Application of Machine Learning with R -- Outlook.

Persistent link: https://www.econbiz.de/10015065680

Strategic insights for MSMEs : navigating the new normal with big data and business analytics

Caraka, Rezzy Eko; Kurniawan, Robert; Chen, Rung Ching; … - In: Journal of Asia Business Studies 18 (2024) 5, pp. 1285-1307

Persistent link: https://www.econbiz.de/10015327071