DAGs are everywhere in scientific computing and understanding them is key to running large computations efficiently.
Informative names make programming easier. Here are a few suggestions you can use to write better names in your code.
You can use youtube-dl to download arbitrary YouTube videos from the command line. This is useful for doing machine learning on new videos.
Building machine learning pipelines as well-formed Python packages simplifies transfer learning. Here’s a simple example.
How you structure code in an ML pipeline makes a big difference in whether other people can easily use it. Here’s a recommendation for how to do it well.
The latest version of Anaconda comes with Python 3.8. But sometimes you need to use an earlier release.
Adding a dimension to a tensor can be important when you’re building deep learning models.
SNS is AWS’s pub-sub service. It’s useful for sending and receiving alerts for events you care about. It can also be used to send SMS messages.
The IPython shell is a fast way to evaluate small bits of code. It also functions as a mighty fine calculator.