
…to detailed explanations but we will be covering most of them during our hands-on experiments here. Data visualization should be leveraged on top of data to communicate patterns and insights with ‘clarity, precision and efficiency’ as mentioned by notable visualization pioneer and statistician, Edward Tufte.
That’s it. The beauty is that we do not know what these features are. Nor do we know how many (k) features are relevant. We simply pick a number for k and learn the relevant values for all the features for all the users and items. How do we learn? By minimizing a loss function, of course!