Artificial intelligence and machine learning for edge computing. (2022)

• Record Type: Book
• Further Information: Note: Edited by Rajiv Pandey, Sunil Kumar Khatri, Neeraj Kumar Singh, Parul Verma.
• Editors: Pandey, Rajiv, 1966-; Khatri, Sunil Kumar; Singh, Neeraj Kumar; Verma, Parul
• Contents: Part 1: AI and Machine Learning 1. Artificial Intelligence 2. Machine Learning 3. Regression Analysis 4. Bayesian Statistics 5. Learning Theory 6. Supervised Learning 7. Unsupervised Learning 8. Reinforcement Learning 9. Instance Based Learning and Feature Engineering Part 2: Data Science and Predictive Analysis 10. Introduction to Data Science and Analysis 11. Linear Algebra, Statistics, Probability, Hypothesis and Inference, Gradient Descent 12. Predictive Analysis Part 3: Edge Computing 13. Distributed Computing - Cloud to fog to Edge 14. Edge Computing 15. Integrating AI with Edge Computing 16. Machine learning integration with Edge Computing 17. Applying AI/Ml at the edge
• Publisher Details: Amsterdam : Academic Press
• Publication Date: 2022
• Extent: 1 online resource
• Subjects: 006.302855758; Artificial intelligence -- Data processing; Machine learning; Edge computing
• Languages: English
• ISBNs: 9780128240557
• Related ISBNs: 9780128240540
• Notes: Note: Description based on CIP data; resource not viewed.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.