Name: Applying Data Science: How to Create Value with Artificial Intelligence (en Inglés)
Price: 452.83 PEN
Availability: InStock
Author: Kordon, Arthur K.
ISBN: 9783030363772

portada Applying Data Science: How to Create Value with Artificial Intelligence (en Inglés)

Formato

Libro Físico

Autor

Arthur K. Kordon

Editorial

Springer

Idioma

Inglés

N° páginas

494

Encuadernación

Tapa Blanda

Dimensiones

23.4 x 15.6 x 2.7 cm

Peso

0.73 kg.

ISBN13

9783030363772

Categorías

Tecnología de la información
Data mining: minería de datos
Inteligencia artificial

Applying Data Science: How to Create Value with Artificial Intelligence (en Inglés)

Arthur K. Kordon (Autor) · Springer · Tapa Blanda

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S/ 452,83

S/ 905,65

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Origen: Reino Unido (Costos de importación incluídos en el precio)

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Reseña del libro "Applying Data Science: How to Create Value with Artificial Intelligence (en Inglés)"

This book offers practical guidelines on creating value from the application of data science based on selected artificial intelligence methods. In Part I, the author introduces a problem-driven approach to implementing AI-based data science and offers practical explanations of key technologies: machine learning, deep learning, decision trees and random forests, evolutionary computation, swarm intelligence, and intelligent agents. In Part II, he describes the main steps in creating AI-based data science solutions for business problems, including problem knowledge acquisition, data preparation, data analysis, model development, and model deployment lifecycle. Finally, in Part III the author illustrates the power of AI-based data science with successful applications in manufacturing and business. He also shows how to introduce this technology in a business setting and guides the reader on how to build the appropriate infrastructure and develop the required skillsets. The book is ideal for data scientists who will implement the proposed methodology and techniques in their projects. It is also intended to help business leaders and entrepreneurs who want to create competitive advantage by using AI-based data science, as well as academics and students looking for an industrial view of this discipline.