Summary: The annual Burtch Works salary survey tells us a lot about which industries are using the most data scientists and the difference between higher and lower skil...
It has been suggested the role conflicts can lead to poorer performance in the workplace. Below I present the general dynamics: more role conflicts equate to less perfo...
K-means is a centroid based algorithm that means points are grouped in a cluster according to the distance(mostly Euclidean) from centroid. Centroid-based Clustering Cent...
My first computer was a Commodore Vic-20 in 1981. I bought the device because of this incredible urge to program in BASIC as a result of Mr. Ted Becker’s course on comp...
The analysis and classification of ordinal categorical data are central in most scientific domains and ubiquitous in governments and businesses. Examples of ordinal data ...
I recently wrote a blog “Interweaving Design Thinking and Data Science to Unleash Economic V…” that discussed the power of interweaving Design Thinkin...
The gradient descent algorithm is one of the most popular optimization techniques in machine learning. It comes in three flavors: batch or “vanilla” gradient desce...
Introduction It is a well-known fact that neural networks can approximate the output of any continuous mathematical function, no matter how complicated it might be. Take...
Amazon continues to be one of the most popular marketplaces in the US as well as the world due, at least in part, to its variety of product categories and product reviews...
Business markets and competition are moving much more quickly these days and predicting, planning and forecasting is more important than ever. It is also important to ens...