Marketing is the science of creating and capturing value. If your goal is to create a product and get it in the hands of as many people as possible, then open source is just a distribution strategy which one of the 4Ps of marketing, place
This makes no sense. Neural nets already tear through tabular data like butter. We're literally dropping out half of the learned parameters. This points to the fundamental inefficiency of the approach. Better regularization is the answer, but it's not about round-robin of existing techniques.
Or Apache Airflow. I'd expect this and KFP to have better integrations that cater to data science. You can use Elyra extension to design the workflows right from JupyterLab.
yes, it is. it adapts. firings get less strong as we get used to stimulus, and neurons that fire together wire together. so different connections form on more important info.