Introduction to Machine Learning in the Cloud with Python (PDF)
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This book provides an introduction to machine learning and cloud computing, both from conceptual and practical levels, along with their usage with a Public Cloud infrastructure. The authors emphasize fundamentals and best practices for using AI and ML in a dynamic infrastructure with cloud computing and security considerations, preparing readers to select and make use of appropriate techniques. Important topics are demonstrated using real applications and several case studies.
- Provides broad coverage of AI, Machine Learning and Cloud Computing;
- Uses real examples and case studies to demonstrate key topics;
- Demonstrates concepts, as well as practical usage.
Dr. Naresh K. Sehgal is working as a Senior VP of Cloud Engineering at NovaSignal. Prior to that he spent 31 years at Intel in various technical and management roles. Naresh completed his B.E. from Punjab Engineering College, M.S. and Ph.D. from Syracuse University. Naresh has taught a Cloud Computing class at Santa Clara University, where he also earned a MBA. Naresh is the co-author of two books on Cloud Computing and Security. In addition, he has 5 patents and over 30 published papers.
- Autoren: Pramod Gupta , Naresh K. Sehgal
- 2021, 1st ed. 2021, 284 Seiten, Englisch
- Verlag: Springer International Publishing
- ISBN-10: 3030712702
- ISBN-13: 9783030712709
- Erscheinungsdatum: 28.04.2021
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: PDF
- Größe: 10 MB
- Ohne Kopierschutz
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