ML versus DL – understanding the difference
As a product manager, you’re going to need to build a lot of trust with your technical counterparts so that, together, you can build an amazing product that works as well as it can technically. If you’re reading this book, you’ve likely come across the phrase ML and DL. We will use the following sections titled ML and DL to go over some of the basics but keep in mind that we will be elaborating on these concepts further down in Chapter 3.
ML
In its basic form, ML is made up of two essential components: the models used and the training data it’s learning from. These data are historical data points that effectively teach machines a baseline foundation from which to learn, and every time you retrain the models, the models are theoretically improving. How the models are chosen, built, tuned, and maintained for optimized performance is the work of data scientists and ML engineers. Using this knowledge of performance...
