“The thinking in AI has changed from ‘What’s possible?’ to ‘How do I do this?’” explains Rafiq Ajani at McKinsey educational AI forum. Natural Language Proc...
Python is the most loved, dreaded, and wanted programming languages by most developers, according to StackOverflow survey. Popular among most professional software deve...
Machine learning algorithms are extremely computationally intensive and time consuming when they must be trained on large amounts of data. Typical processors are not opti...
Data science is a growing and promising discipline that has impacted various domains, including higher education. Owing to its ability to use precise methods and platform...
Pooled, also referred to as “converged”, clusters in a unified data environment support disparate workload better than separate, siloed clusters. Vendors now provide ...
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 ...