Is there a relationship between car robbery and street lighting? The last article was related to robbery and theft cars registered in the Police Department in the year of...
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...
Reviving from the dead an old but popular blog on Understanding Type I and Type II Errors I recently got an inquiry that asked me to clarify the difference between type I...
It is very easy to assume that Data Scientists are highly technical people. Ones who invest all their intellect into interpreting data, concluding smart insights, and off...
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...
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, Hadoop, decision trees, ensembles, ...
This article will provide a high level understanding of effective ways to set up a data science function in 3 types of organisations: (1) Startups, (2) Medium Size Orga...
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 ...