Performing more advanced functions with machine learning
This chapter focuses on how IBM Cloud is ideal for machine learning workloads because of their peak resources requirements. An on-premises environment requires a huge investment to be able to handle the peaks. This capacity is typically 20% utilized most of the time. With the pay-per-use model, IBM Cloud provides a more economical back-end for your machine learning projects.
Machine learning is the ability to train a system to identify patterns in data based on example input. You create a ...
Get How to Use IBM Cloud Object Storage When Building and Operating Cloud Native Applications now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
