If we have decided to carry out the training process on a desktop, we have to do it in the cloud or on our humble local server, based on our needs.
If we decide to use the cloud, again we have the following two options:
- Generic cloud computing
- Hosted machine learning
Generic cloud computing is similar to utilizing the cloud service provider to carry out our work. We want to carry out machine learning training. So, in order to carry this out, whatever is required, say hardware, storage, and so on, must be obtained from them. We can do whatever we need with these resources. We need to place our training dataset here, run the training logic/algorithms, build the model, and so on.
Once the training is done ...
