For a person being from a non-statistical background the most confusing aspect of statistics, are always the fundamental statistical tests, and when to use which. This bl...
This post is a token of appreciation for the amazing open source community of Data Science, to which I owe a lot of what I have learned. For last few months, I have been ...
What is Machine Learning, Data Science or Artificial Intelligence? is one of the most common questions which I have faced from people. Be it newcomers, recruiters or even...
While a reliable method to accurately identify suicidal patients is missing from medical literature, researchers are continually striving for AI-solutions to predict and...
Understanding what a model doesn’t know is important both from the practitioner’s perspective and for the end users of many different machine learning applications. I...
A list of machine learning frameworks has come into the picture for the development and deployment of the AI apps. These frameworks will ditch the entire flow of developm...
I’m a big college sports fan, especially active in debates about which D1 conference is best. Five years ago, I came across the Learfield Directors’ Cup, an ...
Summary: There are some interesting use cases where combining CNNs and RNN/LSTMs seems to make sense and a number of researchers pursuing this. However, the latest tren...
It is more than just a problem, rather a project, possibly even a long-term one for expert data scientists and/or mathematicians, if you want to make a significant contri...
While businesses around the globe continue to evolve their approaches to data exchange and storage, the rise of blockchain enterprises that specialize in helping other bu...