Value types are faster to work with since they operate out of the stacks and copying a value is cheap since it happens in a constant time. Values also help us achieve predictable behaviour and isolation whereas, on the other hand Reference types give shared access to Memory locations and dynamic storage. Since reference types […]
When you talk about a movie recommendation system, you can’t help but think about Netflix. Netflix is an American entertainment company that uses a model-based collaborative filtering approach for real-time movie recommendation for its subscribers. This article delves into a model-based movie recommendation engine with Spark that recommends movies for new users. You will see […]
In this article, you’ll be introduced to the concept of self-organizing maps (SOMs) and presented with a model called a Kohonen network, which will be able to map the input patterns onto a surface, where some attractors (one per class) are placed through a competitive learning process. Such a model will be able to recognise new patterns […]
Reactive programming has been in the picture for more than 20 years now, but it did not really start to gain momentum until the introduction of reactive extensions in 2009. Reactive extensions or Rx are available for several languages, and they look and behave the same for the most part across all these languages. Development […]
