Name: Machine Learning and Data Science Techniques for Effective Government Service Delivery (en Inglés)
Price: 4338.62 MXN
Availability: InStock
Author: Ogunleye, Olalekan Samuel
ISBN: 9781668497173

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portada Machine Learning and Data Science Techniques for Effective Government Service Delivery (en Inglés)

Formato

Libro Físico

Editorial

IGI Global

Autor

Ogunleye, Olalekan Samuel

Idioma

Inglés

N° páginas

364

Encuadernación

Tapa Blanda

Dimensiones

25.4 x 17.8 x 1.9 cm

Peso

0.63 kg.

ISBN13

9781668497173

Categorías

Servicios sociales
La administración pública
Machine learning: aprendizaje automático

Machine Learning and Data Science Techniques for Effective Government Service Delivery (en Inglés)

Ogunleye, Olalekan Samuel (Autor) · IGI Global · Tapa Blanda

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Origen: Estados Unidos (Costos de importación incluídos en el precio)

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Reseña del libro "Machine Learning and Data Science Techniques for Effective Government Service Delivery (en Inglés)"

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.