Review the three types of GCP machine learning services: SaaS (serverless), PaaS (containers), and IaaS (virtual machines).
- [Instructor] So, in this section of the course…we're going to take a look at…some relatively new services on the Google Cloud,…or on Machine Learning.…These are in the category of what I call SaaS services,…or software as a service,…specifically Machine Learning services.…And they're marketed as APIs,…application programming interfaces or endpoints.…Basically, the way that they work is…you look at the type of data you wanna analyze.…So, is it photos, videos, text, speech, so on and so forth.…
And then based on that type of data,…you send it to a particular Machine Learning endpoint.…The Google Cloud Platform Machine Learning endpoint…will return to you many types of labels.…And optionally, likelihoods of that particular label.…So, again, to make this concrete,…there is a vision API that allows for…analysis and classification of photos.…So, if we had our cat and dog example,…we could simply upload our photos and…we would then see labels…related to what the Machine Learning API…thought was in those photos.…
Now, for some business scenarios, this can provide…
- Hosting options: Serverless, containers, and virtual machines
- Enabling the GCP ML AIs
- Preparing data with Cloud Dataflow and Dataprep
- Modeling predictions for images, video, text to speech, and cloud translation
- Machine learning with AutoML
- Advanced machine learning and deep learning
- Machine learning architectures
Skill Level Intermediate
1. Machine Learning on Google Cloud Platform
2. Machine Learning API Services
3. Machine Learning with AutoML
Understand AutoML Vision4m 57s
4. Advanced Machine Learning
5. Machine Learning Architectures
Next steps1m 30s
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