Machine Learning and Data Science Techniques for Effective Government Service Delivery - Couverture souple

Couverture souple

ISBN 10 : 1668497174 ISBN 13 : 9781668497173

Editeur : Engineering Science Reference, 2024

Synopsis

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.

A propos du livre

À propos de l?auteur

Olalekan Samuel Ogunleye has worked as the head of Mobile Development, Strategy and Business Innovations at Eyethenticate Computervision Lab, Johannesburg, South Africa. He was a Senior Mobile and Enterprise Application Developer at the Council for Scientific and Industrial Research (CSIR), Pretoria, South Africa. He was also the Academic Content Developer for Google Sub-Saharan Africa, covering Eight Countries (Nigeria, South Africa, Cameroon, Kenya, Uganda, Ghana and Cote D' Ivoire). During his time at CSIR, Dr Olalekan became interested in and developed cybersecurity expertise, particularly in fighting Cyber Crime, Artificial Intelligence, System Development and Implementation, ICDL for Organization Development, Internet of Things, ICT4D for Social Development. His significant IT and ICT interest has centred around Artificial Intelligence, Machine Learning, Data Science and the Internet of Things. He is a social Media Enthusiast and regular. Dr Olalekan has B. Tech (Hons) degree in Computer Science and Engineering from the Ladoke Akintola University of Technology, MSc in Computer Science from University of Cape Town (UCT), Master of Business Administration (MBA) degree from Management College of Southern Africa (MANCOSA). He obtained his PhD in Information Systems from the University of Cape Town, where he investigated and developed a Framework and Model for Supporting Government Service Delivery using Mobile Technology. He has worked as a Senior Lecturer at the School of Information Technology, Monash University, ICT Lecturer for MBA at the MANCOSA, Research Consultant on ICT research at the Faculty of ICT, Tshwane University of Technology, and Technical Research Implementation Consultant for the Department of the Electrical Engineering Mangosuthu University of Technology, all in South Africa. Further to this, Dr Olalekan has consulted for various organizations in Botswana, Nigeria, Ghana, Uganda, South Africa, Swaziland, and Zambia on Cybersecurity Implementation and has developed various Machine Learning Models for the majority of these organizations.

Détails de l'édition

• Éditeur: Engineering Science Reference
• Date d'édition: 2024
• Langue: anglais
• ISBN 10: 1668497174
• ISBN 13: 9781668497173
• Reliure: Broché
• Nombre de pages: 344
• Éditeur: Ogunleye Olalekan Samuel
• Coordonnées du fabricant: non disponible
• Personne responsable: gpsr@libri.de; gpsr@libri.de; ; Friedensallee 273; Hamburg; 22763; Allemagne