TL;DR: Drop by to learn about how Machine Learning (ML) works, how to write-up your own ML models, how to setup remote workloads to train your models, and get introduced to some of the APIs you have access to which can do quite a bit of your ML for you without training a model!
Table of Contents:
You only need to install Anaconda on your machine. This will take the better part of 30 minutes to download and install.
- Grab the "Anaconda Installer" for Windows, MacOS, or Linux.
- Follow the instructions on setting up for Windows, MacOS, or Linux.
- What is ML?
- What can you use it for?
- Downloading datasets
- Exploring data
- What are Neural Networks?
- Building Neural Nets in PyTorch
- DevOps is the bottleneck of ML
- Setting up your Google Cloud account
- Selecting resources
- Using GPUs in PyTorch
- High-level exploration of the different GCP APIs