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Introduction to Machine Learning in the Cloud with Python

Concepts and Practices
BuchKartoniert, Paperback
284 Seiten
Englisch
Springererschienen am29.04.20222021
This book provides an introduction to machine learning and cloud computing, both from a conceptual level, along with their usage with underlying infrastructure.mehr
Verfügbare Formate
BuchKartoniert, Paperback
EUR64,19
E-BookPDF1 - PDF WatermarkE-Book
EUR64,19

Produkt

KlappentextThis book provides an introduction to machine learning and cloud computing, both from a conceptual level, along with their usage with underlying infrastructure.
Zusammenfassung
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
Details
ISBN/GTIN978-3-030-71272-3
ProduktartBuch
EinbandartKartoniert, Paperback
Verlag
Erscheinungsjahr2022
Erscheinungsdatum29.04.2022
Auflage2021
Seiten284 Seiten
SpracheEnglisch
IllustrationenXIX, 284 p. 158 illus., 146 illus. in color.
Artikel-Nr.50508345

Inhalt/Kritik

Inhaltsverzeichnis
Introduction to Machine Learning.- Foundations of Machine Learning.- Deep Learning and cloud computing.- Cloud Computing Concepts.- Practical Aspects in Machine Learning.- Artificial Intelligence and Information Security.- Examples of Analytics in the Cloud.- A case study of Data Collection and Analytics in the Cloud.- Future trends in Hardware based AI and ML.mehr
Kritik
"Considering the technical content, the authors' prose and presentation style is conversational and easy to follow. There is a useful and extensive glossary at the book's conclusion, which will also be helpful to readers new to the subject matter. ... Overall, the book represents a valuable resource for students and practitioners who need a well-organized and somewhat in-depth overview of how machine learning can be performed using existing cloud resources." (Harry J. Foxwell, Computing Reviews, February 24, 2022)mehr

Schlagworte

Autor

Dr. Pramod Gupta is working as a Senior Principal Data Scientist at NovaSignal. 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.



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 healso 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.
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Sehgal, Naresh K.