How use GCP for machine learning?
Actually there are a lot of different possible answers, depending on what type of ML training you would like to do with Google Cloud Services.
I highly recommend you to take a look at this post in which you will see the basic structure that it is recommended for using ML in Google Cloud.
Also, you will find some tutorials that could help you get your firsts steps into doing Machine Learning on Google Cloud.
To sum up; Machine Learning in Google Cloud can be summarized in:
- Data Ingestion and Collection
- Storing the data.
- Processing data.
- ML training.
- ML deployment.
Each one of this processes can use their own Google Cloud's product, and it depends on the kind of use that you would like to do. You will find further information in the post above.
Any available tutorial resources for this matter?
It also depends a lot in what kind of tutorials you are looking for. If you would like to have a deeper understanding on how to do Machine Learning in Google Cloud, I would go with Coursera.
Coursera have some really good courses that talk about ML. For example:
As for Google Cloud's documentation it really depends on what products you would like to use, but you could take a look at:
I hope it helps. As mentioned before, you will encounter a more fine and detail explanation in this post.