Determining sample sizes is a challenging undertaking. For simplicity, I’ve limited this picture to the one of the most common testing situation: testing for differ...
Offline marketing is far from dead The marketing communication industry has three main players: the brand, the agency and the media owner. The agency, who is typically th...
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, decision trees, ensembles, correlati...
Key topics of this blog: Economies of scalehave historically given large enterprises unsurmountable market advantages through the exploitation of mass production, distrib...
As of now, chatbots are among the most trending technology for which the industry is excited to get in integrated. They get touted as the next rendition of applications, ...
Running data science workloads is a challenge regardless of whether you are running them on your laptop, on an on-premises cluster, or in the cloud. While buying 100% man...
Introduction Over the last few years, blockchain has been one of the hottest areas of technology development across industries. It’s easy to see why. There seems to be ...
This article was written by Krishna Kumar Mahto. So, three days into SVM, I was 40% frustrated, 30% restless, 20% irritated and 100% inefficient in terms of getting my ...
Witnessing the data science field’s meteoric rise in demand across pretty much all industries and areas of scientific research, it’s easy to anticipate efforts to cre...
Last month I had an honor to participate in data science project reviews for the new graduates of General Assembly’s Data Science Immersive program. In the span of ...