In this post, I explore if ideas of deliberate practise can be applied to teaching coding for Artificial Intelligence / Machine Learning I am exploring these ideas in a...
In our last post, we explained the basics of streaming with Spark. Today, we want to talk about graphs and explore Apache Spark GraphX tool for graph computation and ana...
What is computer vision? Nowadays, computer vision (CV) is one of the most widely used dimensions of machine learning. The main task of computer vision is to understand t...
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 ...
While a reliable method to accurately identify suicidal patients is missing from medical literature, researchers are continually striving for AI-solutions to predict and...
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 tre...
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...
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...