Learn how to work with Cloud Datalab, a Jupyter-style notebook.
- [Instructor] Now you see that the SSH key metadata…has been propagated and just took about five minutes.…So, it may take longer in your case.…You see in the bottom here that connection to Datalab…is now open and will remain until this connection is killed.…Click on the Web preview,…the square button at top right,…select Change port to 8081 and start using Datalabs.…That's this here.…So we wanna say Web preview,…and we wanna change he Port.…We wanna change it to 8081.…So this is on this machine.…
And we can see in the default image,…if we go into docs,…and samples,…we've a whole bunch of samples.…So just to give us a sense of this,…let's look at Anomaly Detection in HTTP Logs.…And that will start that notebook.…And again, this is a type of Jupyter Notebook.…Google has written some extensions.…You can see as with the colabs…you've got first, this text basically explaining…the problem.…So if we click off of that…that renders this…and we have lots of links and stuff.…
So what this is doing is…it's working with HTTP request logs.…
- 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
- Mark as unwatched
- Mark all as unwatched
Are you sure you want to mark all the videos in this course as unwatched?
This will not affect your course history, your reports, or your certificates of completion for this course.Cancel
Take notes with your new membership!
Type in the entry box, then click Enter to save your note.
1:30Press on any video thumbnail to jump immediately to the timecode shown.
Notes are saved with you account but can also be exported as plain text, MS Word, PDF, Google Doc, or Evernote.