This article was written by Ray of RayOnStorage Blog. Original title: Compressing information through the information bottleneck during deep learning. Read an article i...
Summary: This is the third in our series on chatbots. In this installment we’ll look at the best practice dos and don’ts as described by a number of successful ch...
In today’s world, a successful organization has to achieve data and analytics competencies to stay competitive and relevant. By leveraging detailed relevant data at ...
In some applications, using the standard precision in your programming language of choice, may not be enough, and can lead to disastrous errors. In some cases, you work w...
This is Google’s dictionary on machine learning. Very interesting, with more than 100 entries, but clearly biased towards what Google thinks machine learning is. Th...
Yet another one of these One Picture tutorials, and in some ways, in the same old-fashioned style as our Type I versus Type II Errors in One Picture. DSC Resources Servic...
The AE (Algorithm Economy) is explained as companies maintaining a competitive advantage by being technically and culturally driven by data, analytics, and action. The AE...
This article was written by Jon Krohn. At untapt, all of our models involve Natural Language Processing (NLP) in one way or another. Our algorithms consider the natural...
Summary: This is the second in our chatbot series. Here we explore Natural Language Understanding (NLU), the front end of all chatbots. We’ll discuss the programm...