Machine Learning Artificial Intelligence by Refonaa (15 results)

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Condition: New.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Condition: New. In English.

Condition: New.

Taschenbuch. Condition: Neu. Machine Learning and Artificial Intelligence in Electronics Design | J. Refonaa | Taschenbuch | Englisch | 2024 | LAP LAMBERT Academic Publishing | EAN 9786208170738 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. …

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 112 pp. Englisch.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 112 pp. Englisch.

Condition: New. Print on Demand.

Condition: New. PRINT ON DEMAND.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The book 'Machine Learning and Artificial Intelligence in Electronics Design' provides a comprehensive overview of how ML and AI are transforming electronics design, beginning with foundational concepts and extending to their application in enhancing and automating traditional workflows. Key areas covered include AI-driven optimization, predictive modelling, and data-driven decision-making within Electronics Design Automation (EDA). Real-world case studies illustrate the significant impact of these technologies across various industries, highlighting their role in driving innovation and improving efficiency in electronic systems development. Techniques like advanced data management, robust validation methods, and scalable algorithms are essential for fully realizing the potential of AI and ML in electronics design. Real-world case studies and examples from industries such as consumer electronics, automotive, aerospace, and healthcare illustrate the transformative impact of AI and ML. In conclusion, the integration of AI and ML into electronics design not only streamlines and optimizes design processes but also opens new avenues for innovation and technological advancement.…

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The book 'Machine Learning and Artificial Intelligence in Electronics Design' provides a comprehensive overview of how ML and AI are transforming electronics design, beginning with foundational concepts and extending to their application in enhancing and automating traditional workflows. Key areas covered include AI-driven optimization, predictive modelling, and data-driven decision-making within Electronics Design Automation (EDA). Real-world case studies illustrate the significant impact of these technologies across various industries, highlighting their role in driving innovation and improving efficiency in electronic systems development. Techniques like advanced data management, robust validation methods, and scalable algorithms are essential for fully realizing the potential of AI and ML in electronics design. Real-world case studies and examples from industries such as consumer electronics, automotive, aerospace, and healthcare illustrate the transformative impact of AI and ML. In conclusion, the integration of AI and ML into electronics design not only streamlines and optimizes design processes but also opens new avenues for innovation and technological advancement.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 112 pp. Englisch.…

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The book 'Machine Learning and Artificial Intelligence in Electronics Design' provides a comprehensive overview of how ML and AI are transforming electronics design, beginning with foundational concepts and extending to their application in enhancing and automating traditional workflows. Key areas covered include AI-driven optimization, predictive modelling, and data-driven decision-making within Electronics Design Automation (EDA). Real-world case studies illustrate the significant impact of these technologies across various industries, highlighting their role in driving innovation and improving efficiency in electronic systems development. Techniques like advanced data management, robust validation methods, and scalable algorithms are essential for fully realizing the potential of AI and ML in electronics design. Real-world case studies and examples from industries such as consumer electronics, automotive, aerospace, and healthcare illustrate the transformative impact of AI and ML. In conclusion, the integration of AI and ML into electronics design not only streamlines and optimizes design processes but also opens new avenues for innovation and technological advancement.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 112 pp. Englisch.…

Taschenbuch. Condition: Neu. Machine Learning and Artificial Intelligence in Electronics Design | Second Edition | J. Refonaa | Taschenbuch | Englisch | 2026 | LAP LAMBERT Academic Publishing | EAN 9786209615054 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand. …

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The book 'Machine Learning and Artificial Intelligence in Electronics Design' provides a comprehensive overview of how ML and AI are transforming electronics design, beginning with foundational concepts and extending to their application in enhancing and automating traditional workflows. Key areas covered include AI-driven optimization, predictive modelling, and data-driven decision-making within Electronics Design Automation (EDA). Real-world case studies illustrate the significant impact of these technologies across various industries, highlighting their role in driving innovation and improving efficiency in electronic systems development. Techniques like advanced data management, robust validation methods, and scalable algorithms are essential for fully realizing the potential of AI and ML in electronics design. Real-world case studies and examples from industries such as consumer electronics, automotive, aerospace, and healthcare illustrate the transformative impact of AI and ML. In conclusion, the integration of AI and ML into electronics design not only streamlines and optimizes design processes but also opens new avenues for innovation and technological advancement.…