Machine learning and data science techniques for effective government service delivery:
"In our data-rich era, extracting meaningful insights from the vast amount of information has become a crucial challenge, especially in government service delivery where informed decisions are paramount. Traditional approaches struggle with the enormity of data, highlighting the need for a new...
Gespeichert in:
| Weitere Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) :
IGI Global,
2024.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | "In our data-rich era, extracting meaningful insights from the vast amount of information has become a crucial challenge, especially in government service delivery where informed decisions are paramount. Traditional approaches struggle with the enormity of data, highlighting the need for a new approach that integrates data science and machine learning. The book, Machine Learning and Data Science Techniques for Effective Government Service Delivery, becomes a vital resource in this transformation, offering a deep understanding of these technologies and their applications. Within the complex landscape of modern governance, this book stands as a solution-oriented guide. Recognizing data's value in the 21st century, it navigates the world of data science and machine learning, enhancing the mechanics of government service. By addressing citizens' evolving needs, these advanced methods counter inefficiencies in traditional systems. Tailored for experts across technology, academia, and government, the book bridges theory and practicality. Covering foundational concepts and innovative applications, it explores the potential of data-driven decision-making for a more efficient and citizen-centric government future."-- |
| Beschreibung: | 17 PDFs (344 pages) Also available in print. |
| Format: | Mode of access: World Wide Web. |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9781668497180 |
| Zugangseinschränkungen: | Restricted to subscribers or individual electronic text purchasers. |
Internformat
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| 245 | 0 | 0 | |a Machine learning and data science techniques for effective government service delivery |c Olalekan Samuel Ogunleye, editor. |
| 264 | 1 | |a Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : |b IGI Global, |c 2024. | |
| 300 | |a 17 PDFs (344 pages) | ||
| 336 | |a text |2 rdacontent | ||
| 337 | |a electronic |2 isbdmedia | ||
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| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Chapter 1. Using artificial intelligence to enhance e-government services delivery through data science and machine learning -- Chapter 2. Enterprise transformation projects: the polymathic enterprise architecture-based generic learning processes (PEAbGLP) -- Chapter 3. An anticipatory framework for categorizing Nigerian supreme court rulings -- Chapter 4. Artificial intelligence is the new secret sauce for good governance -- Chapter 5. Unveiling the power of machine learning algorithms -- Chapter 6. Developing a data lakehouse for a South African government-sector training authority: implementing quality control for incremental extract-load-transform pipelines in the ingestion layer -- Chapter 7. Developing a data lakehouse for a South African government-sector training authority: governance framework design through systematic literature review -- Chapter 8. Development, monitoring, and management approaches of machine learning implementations for the effective delivery of government services -- Chapter 9. The role of data science and volunteered geographic information in enhancing government service delivery: opportunities and challenges. | |
| 506 | |a Restricted to subscribers or individual electronic text purchasers. | ||
| 520 | 3 | |a "In our data-rich era, extracting meaningful insights from the vast amount of information has become a crucial challenge, especially in government service delivery where informed decisions are paramount. Traditional approaches struggle with the enormity of data, highlighting the need for a new approach that integrates data science and machine learning. The book, Machine Learning and Data Science Techniques for Effective Government Service Delivery, becomes a vital resource in this transformation, offering a deep understanding of these technologies and their applications. Within the complex landscape of modern governance, this book stands as a solution-oriented guide. Recognizing data's value in the 21st century, it navigates the world of data science and machine learning, enhancing the mechanics of government service. By addressing citizens' evolving needs, these advanced methods counter inefficiencies in traditional systems. Tailored for experts across technology, academia, and government, the book bridges theory and practicality. Covering foundational concepts and innovative applications, it explores the potential of data-driven decision-making for a more efficient and citizen-centric government future."-- |c Provided by publisher. | |
| 530 | |a Also available in print. | ||
| 538 | |a Mode of access: World Wide Web. | ||
| 588 | |a Description based on title screen (IGI Global, viewed 04/10/2024). | ||
| 650 | 0 | |a Data mining. | |
| 650 | 0 | |a Internet in public administration. | |
| 650 | 0 | |a Machine learning. | |
| 655 | 4 | |a Electronic books. | |
| 700 | 1 | |a Ogunleye, Olalekan Samuel |d 1979- |e editor. | |
| 710 | 2 | |a IGI Global, |e publisher. | |
| 776 | 0 | 8 | |i Print version: |z 1668497166 |z 9781668497166 |
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| 912 | |a ZDB-98-IGB | ||
| 049 | |a DE-863 | ||
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| adam_text | |
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| contents | Chapter 1. Using artificial intelligence to enhance e-government services delivery through data science and machine learning -- Chapter 2. Enterprise transformation projects: the polymathic enterprise architecture-based generic learning processes (PEAbGLP) -- Chapter 3. An anticipatory framework for categorizing Nigerian supreme court rulings -- Chapter 4. Artificial intelligence is the new secret sauce for good governance -- Chapter 5. Unveiling the power of machine learning algorithms -- Chapter 6. Developing a data lakehouse for a South African government-sector training authority: implementing quality control for incremental extract-load-transform pipelines in the ingestion layer -- Chapter 7. Developing a data lakehouse for a South African government-sector training authority: governance framework design through systematic literature review -- Chapter 8. Development, monitoring, and management approaches of machine learning implementations for the effective delivery of government services -- Chapter 9. The role of data science and volunteered geographic information in enhancing government service delivery: opportunities and challenges. |
| ctrlnum | (CaBNVSL)slc00005743 (OCoLC)1422145628 |
| dewey-full | 352.70285/531 |
| dewey-hundreds | 300 - Social sciences |
| dewey-ones | 352 - General considerations of public administration |
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| genre | Electronic books. |
| genre_facet | Electronic books. |
| id | ZDB-98-IGB-00319955 |
| illustrated | Not Illustrated |
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| institution | BVB |
| isbn | 9781668497180 |
| language | English |
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| physical | 17 PDFs (344 pages) Also available in print. |
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| spelling | Machine learning and data science techniques for effective government service delivery Olalekan Samuel Ogunleye, editor. Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : IGI Global, 2024. 17 PDFs (344 pages) text rdacontent electronic isbdmedia online resource rdacarrier Includes bibliographical references and index. Chapter 1. Using artificial intelligence to enhance e-government services delivery through data science and machine learning -- Chapter 2. Enterprise transformation projects: the polymathic enterprise architecture-based generic learning processes (PEAbGLP) -- Chapter 3. An anticipatory framework for categorizing Nigerian supreme court rulings -- Chapter 4. Artificial intelligence is the new secret sauce for good governance -- Chapter 5. Unveiling the power of machine learning algorithms -- Chapter 6. Developing a data lakehouse for a South African government-sector training authority: implementing quality control for incremental extract-load-transform pipelines in the ingestion layer -- Chapter 7. Developing a data lakehouse for a South African government-sector training authority: governance framework design through systematic literature review -- Chapter 8. Development, monitoring, and management approaches of machine learning implementations for the effective delivery of government services -- Chapter 9. The role of data science and volunteered geographic information in enhancing government service delivery: opportunities and challenges. Restricted to subscribers or individual electronic text purchasers. "In our data-rich era, extracting meaningful insights from the vast amount of information has become a crucial challenge, especially in government service delivery where informed decisions are paramount. Traditional approaches struggle with the enormity of data, highlighting the need for a new approach that integrates data science and machine learning. The book, Machine Learning and Data Science Techniques for Effective Government Service Delivery, becomes a vital resource in this transformation, offering a deep understanding of these technologies and their applications. Within the complex landscape of modern governance, this book stands as a solution-oriented guide. Recognizing data's value in the 21st century, it navigates the world of data science and machine learning, enhancing the mechanics of government service. By addressing citizens' evolving needs, these advanced methods counter inefficiencies in traditional systems. Tailored for experts across technology, academia, and government, the book bridges theory and practicality. Covering foundational concepts and innovative applications, it explores the potential of data-driven decision-making for a more efficient and citizen-centric government future."-- Provided by publisher. Also available in print. Mode of access: World Wide Web. Description based on title screen (IGI Global, viewed 04/10/2024). Data mining. Internet in public administration. Machine learning. Electronic books. Ogunleye, Olalekan Samuel 1979- editor. IGI Global, publisher. Print version: 1668497166 9781668497166 FWS01 ZDB-98-IGB FWS_PDA_IGB http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-6684-9716-6 Volltext |
| spellingShingle | Machine learning and data science techniques for effective government service delivery Chapter 1. Using artificial intelligence to enhance e-government services delivery through data science and machine learning -- Chapter 2. Enterprise transformation projects: the polymathic enterprise architecture-based generic learning processes (PEAbGLP) -- Chapter 3. An anticipatory framework for categorizing Nigerian supreme court rulings -- Chapter 4. Artificial intelligence is the new secret sauce for good governance -- Chapter 5. Unveiling the power of machine learning algorithms -- Chapter 6. Developing a data lakehouse for a South African government-sector training authority: implementing quality control for incremental extract-load-transform pipelines in the ingestion layer -- Chapter 7. Developing a data lakehouse for a South African government-sector training authority: governance framework design through systematic literature review -- Chapter 8. Development, monitoring, and management approaches of machine learning implementations for the effective delivery of government services -- Chapter 9. The role of data science and volunteered geographic information in enhancing government service delivery: opportunities and challenges. Data mining. Internet in public administration. Machine learning. |
| title | Machine learning and data science techniques for effective government service delivery |
| title_auth | Machine learning and data science techniques for effective government service delivery |
| title_exact_search | Machine learning and data science techniques for effective government service delivery |
| title_full | Machine learning and data science techniques for effective government service delivery Olalekan Samuel Ogunleye, editor. |
| title_fullStr | Machine learning and data science techniques for effective government service delivery Olalekan Samuel Ogunleye, editor. |
| title_full_unstemmed | Machine learning and data science techniques for effective government service delivery Olalekan Samuel Ogunleye, editor. |
| title_short | Machine learning and data science techniques for effective government service delivery |
| title_sort | machine learning and data science techniques for effective government service delivery |
| topic | Data mining. Internet in public administration. Machine learning. |
| topic_facet | Data mining. Internet in public administration. Machine learning. Electronic books. |
| url | http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-6684-9716-6 |
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