Organizations of all types and industries are dipping their toes into machine learning and artificial intelligence (AI). However, for most embarking on this transformatio...
This article was written by Tapan Kumar Sahoo & Haider Banka. Abstract In this paper, we propose hybrid principal component analysis (HPCA) to extract appearance f...
Convolution is a concept well known to machine learning and signal processing professionals. In this article, we explain in simple English how a moving average is actuall...
Artificial Intelligence (AI) and Machine Learning (ML) are already being leveraged for increased efficiency and greater success in public web data-gathering operations. I...
The Machine Learning Lifecycle (Adapted from Microsoft’s – Data Science Lifecycle) 87% of machine learning projects fail to make it into production. Deploying ML mo...
Here I provide translations for various important terms, to help professionals from related backgrounds better understand each other. In particular, machine learning prof...
The title of this blog is accurate There are indeed some caveats / disadvantages to automated machine learning. This blog was motivated by a question in my University of ...
Gerrymandering has long been a problem in the process of choosing elected officials globally, but it is especially a problem in the United States, where political redistr...
This article was written by David Sheehan. This post describes (with GIFs and words) the most common clustering algorithms available through Scikit-learn. It’s a common...
This article was written on the blog CLOUDERA Fast Forward. Machine learning models are used for important decisions like determining who has access to bail. The aim is t...