Cost-cutting techniques for Machine Learning in the cloud
AWS, GCP, MS Azure provide a wide array of highly efficient and scalable managed services, encompassing storage, computing, databases. However, they do not demand deep expertise in infrastructure management, but if used imprudently, they can notably escalate your expenditure. Here are some valuable guidelines to mitigate the risk of the ML workloads causing undue strain on your cloud expenses.