scaling machine learning models real time di continental academy press (3 risultati)

Softcover. Condizione: New. Condizione sovraccoperta: no dj. First. In today's fast-paced digital landscape, the ability to scale machine learning models is crucial for real-time systems. 'Scaling Machine Learning Models in Real-Time Systems' provides a comprehensive exploration of the challenges and opportunities that arise when integrating machine learning into high-performance computing environments. By examining the intricacies of model optimization, data parallelization, and distributed training, this book equips readers with the knowledge necessary to develop robust and efficient machine learning systems that can handle the demands of real-time applications. From the intricacies of model compression to the benefits of model pruning, this book offers a detailed examination of the key strategies and techniques required to scale machine learning models in real-time systems. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condizione: New. Condizione sovraccoperta: no dj. First. Scaling Machine Learning Models in Real-Time Systems explores innovative strategies to deploy and manage machine learning models in environments demanding immediate processing and decision-making. This book discusses architectures that support high throughput and low latency, enabling models to operate efficiently at scale. It covers techniques for optimizing performance, ensuring reliability, and maintaining accuracy in dynamic, real-world applications. The insights provided are crucial for engineers and data scientists aiming to implement scalable solutions that meet the rigorous demands of real-time systems. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condizione: New. Condizione sovraccoperta: no dj. First. Scaling Machine Learning Models for Real-Time Applications provides a comprehensive exploration of the rapidly evolving landscape of machine learning and real-time systems. By examining the theoretical foundations and practical applications of machine learning scaling, this book offers a nuanced understanding of the potential benefits of adopting a machine learning approach to real-time systems. Through a series of in-depth case studies and theoretical frameworks, readers will gain a deeper appreciation for the potential applications of machine learning scaling in fields such as real-time systems, IoT, and edge computing. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.