Introduction to Machine Learning with Security : Theory and Practice Using Python in the Cloud

Pramod Gupta

ISBN 10: 3031591690 / ISBN 13: 9783031591693

Editore: Springer International Publishing, 2024

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Druck auf Anfrage Neuware - Printed after ordering - This book provides an introduction to machine learning, security and cloud computing, from a conceptual level, along with their usage with underlying infrastructure. The authors emphasize fundamentals and best practices for using AIand ML in a dynamic infrastructure with cloud computing and high security, preparing readers to select and make use of appropriate techniques. Important topics are demonstrated using real applications and case studies.

Codice articolo 9783031591693

Dati bibliografici

• Titolo: Introduction to Machine Learning with Security : Theory and Practice Using Python in the Cloud
• Editore: Springer International Publishing
• Data di pubblicazione: 2024
• Lingua: Inglese
• ISBN 10: 3031591690
• ISBN 13: 9783031591693
• Rilegatura: Buch
• Edizione: seconda edizione
• Condizione: Neu
• Dimensioni: 246 L x 173 A x 32 P (millimetri) 246 millimetri di larghezza per 173 millimetri di altezza per 32 millimetri di profondità
• Peso: 1144 grammi

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Riassunto

This book provides an introduction to machine learning, security and cloud computing, from a conceptual level, along with their usage with underlying infrastructure. The authors emphasize fundamentals and best practices for using AI and ML in a dynamic infrastructure with cloud computing and high security, preparing readers to select and make use of appropriate techniques. Important topics are demonstrated using real applications and case studies.  

Informazioni sull?autore

Pramod Gupta has more than 20 years of experience as a researcher and academician in various organizations including work with NASA, GE, VISA, and University of California and startups. He has a PhD from McMaster University in Electrical and Computer Engineering with specialization in Neuro-Control of Robotic Manipulators.  He has more than 40 publications on these subjects. His research areas include Neural Networks, Machine Learning, Artificial Intelligence, Data Modeling and Analytics and Data mining.  Presently, he is an Adjunct Faculty and working as an independent data science consultant. 

Naresh K. Sehgal is a CTO at the Deeply Human AI. Before that he worked at NovaSignal for 3 years and at Intel for 31 years in various Engineering and Management roles. Naresh has earned his B.E. from Punjab Engineering College, M.S. and Ph.D. from Syracuse University. He also taught a Cloud Computing class at Santa Clara University, where he earned an MBA.

John M. Acken is a research faculty member in the Electrical and Computer Engineering Department, Portland State University, Portland, OR.  John received his BS and MS in Electrical Engineering from Oklahoma State University and Ph. D. in Electrical Engineering from Stanford University. His projects include technology and devices for information security and identity authentication. John has worked as an Electrical Engineer and Manager at several companies, including the US Army, Sandia National Labs in Albuquerque, New Mexico and Intel in Santa Clara, CA.  John’s time in the US Army was in the Army Security Agency, a branch of NSA during the Vietnam War.