Learn how to work with Colaboratory, a Jupyter-style notebook.
- [Instructor] As we're preparing…to start learning about the GCP machine learning services,…we were talking about data preparation…and data preparation services.…Another aspect of working with machine learning in general,…but GCP machine learning specifically,…is working with a new type of interface to the services.…Of course, you can always use a terminal window,…writing scripts, or you can use, in some cases,…the GCP console, the GUI console.…But more and more, I'm seeing people work…with a new type of interface, and that's a Jupyter notebook.…
So, a Jupyter notebook is a webpage which can be hosted…either locally or, more commonly, remotely.…And it is a set of libraries that presents you…with a webpage that allows you to have comments.…You can see the example here.…Code, so you can see the center section here,…from scipy.io so and so forth,…and you can execute that code,…so that becomes like a terminal.…And most importantly, visualizations.…What many of the vendors, Google included,…have done is they've written extensions to Jupyter…
- 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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