Now that you have learned the basics of data processing and feature extraction, we will move on to explore individual machine learning models in detail, starting with recommendation engines.
Recommendation engines are probably among the best types of machine learning models known to the general public. Even if people do not know exactly what a recommendation engine is, they have most likely experienced one through the use of popular websites, such as Amazon, Netflix, YouTube, Twitter, LinkedIn, and Facebook. Recommendations are a core part of all these businesses, and in some cases, they drive significant percentages of their revenue.
The idea behind recommendation engines is to predict what people might like and to uncover relationships between items to aid in the discovery process; in this way, they are similar and, in fact, often complementary to search engines, which...
