> 96% example code with modifications hacked in to make it work.
This is 96% of how ML is used in practice by companies. Most parameter optimization should be automated by whatever library you’re using, beyond basic sanity checking. The challenging parts are creating high-quality training data and deploying the models efficiently at scale.
This is 96% of how ML is used in practice by companies. Most parameter optimization should be automated by whatever library you’re using, beyond basic sanity checking. The challenging parts are creating high-quality training data and deploying the models efficiently at scale.