Abstract: This chapter focuses on the practical aspects of deploying machine learning models in production using Docker containers and Kubernetes. It covers the benefits of Docker for machine learning ...
Abstract: Recently, Optimal Transport has been proposed as a probabilistic framework in Machine Learning for comparing and manipulating probability distributions. This is rooted in its rich history ...
Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...
Enter machine learning (ML), the process through which software and hardware use algorithms, data analysis and other procedures to expand their understanding of concepts. To join this emerging ...
We may receive compensation when you click on links to products we review. Please view our affiliate disclosure. As artificial intelligence (AI) continues to revolutionize many sectors, the vital ...
GPT is a Python measurement toolkit built on Grid data parallelism (MPI, OpenMP, SIMD, and SIMT). It provides a physics library for lattice QCD and related theories, a QIS module including a digital ...