How Long Does It Take to Learn Python for Data Science?
Python is the most loved, dreaded, and wanted programming languages by most developers, according to StackOverflow survey. Popular among most professional software deve...
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How Data Science is Playing a Big Role in Higher Education?
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...
Workload Optimized Compute Servers Are Creating the Need for Converged Clusters
Pooled, also referred to as “converged”, clusters in a unified data environment support disparate workload better than separate, siloed clusters. Vendors now provide ...
Where’s the Love – Trends in Data Science Career Opportunities
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...
Role Conflicts and Deviant Behaviours
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...
Fine grained analysis of K- mean clustering and where we are using it
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...
The Call for a New Device for Data Scientists
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 Homogeneity and Location Index: An open-source Statistical Framework for the classification of ordinal categorical data
The analysis and classification of ordinal categorical data are central in most scientific domains and ubiquitous in governments and businesses. Examples of ordinal data ...
How DevOps Drives Analytics Operationalization and Monetization
I recently wrote a blog “Interweaving Design Thinking and Data Science to Unleash Economic V…” that discussed the power of interweaving Design Thinkin...
Machine Learning and Particle Motion in Liquids: An Elegant Link
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...