What Every Engineer Should Know About Artificial Intelligence and Big Data - Tapa blanda

Srinivasan, Satish Mahadevan; Sangwan, Raghvinder S.

 
9781032829852: What Every Engineer Should Know About Artificial Intelligence and Big Data
Tapa blanda
ISBN 10: 1032829850 ISBN 13: 9781032829852
Editorial: CRC Press, 2026

Sinopsis

Recognizing the vast potential in analyzing big data through machine learning (ML) and artificial intelligence (AI) technologies, companies are acknowledging these technologies as essential for maintaining relevance. A prevailing trend is emerging toward the adoption of distributed open‑source computing for storing big data assets and performing advanced ML/AI analytics to predict future trends and risks for businesses. This book offers readers an overview of the essentials of big data and ML/AI, while acknowledging that the field is extensive and evolving. In addition to focusing on theory, this book shares real‑life experiences building AI and big data analytics systems of value to practitioners.

  • Features practical case studies on building big data and AI models for large‑scale enterprise solutions
  • Discusses the use of design patterns for architecting AI that are safe, secure, and testable
  • Covers an array of concepts, including deep big data analytics, natural language processing, transformer architecture, and evolution of ChatGPT, swarm intelligence, and genetic programming

Informed by the authors’ many years of teaching ML and AI and working on predictive data analytics/AI projects, this book is suitable for use by graduates, professionals, and researchers within the field of data science and engineers and scientists interested in learning more about these essential technologies.

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Acerca del autor

Satish Mahadevan Srinivasan is an Associate Professor of Information Science at Pennsylvania State University, Great Valley. He teaches courses related to database design, data mining, data collection and cleaning, data visualization, computer, network and web securities, network analytics and business process management.

Raghvinder S. Sangwan is a Professor of Software Engineering at Pennsylvania State University with expertise in analysis, design, and development of large‑scale software‑intensive systems, and the use of AI engineering to design and develop intelligent systems that are safe, secure, and trustworthy.

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Editorial
CRC Press
Año de publicación
2026
Idioma
Inglés
ISBN 10 
1032829850
ISBN 13 
9781032829852
Encuadernación
Tapa blanda
Número de edición
1
Número de páginas
304
Contacto del fabricante
Taylor and Francis, GPSR Taylor and Francis
gpsr@taylorandfrancis.com

Taylor & Francis Verlag GmbH, Kaufingerstraße 24
München
80331
Alemania