Machine learning algorithms are extremely computationally intensive and time consuming when they must be trained on large amounts of data. Typical processors are not optimized… Read More »Open-source Logistic Regression FPGA core for accelerated Machine Learning
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… Read More »How Data Science is Playing a Big Role in Higher Education?
Pooled, also referred to as “converged”, clusters in a unified data environment support disparate workload better than separate, siloed clusters. Vendors now provide direct support… Read More »Workload Optimized Compute Servers Are Creating the Need for Converged Clusters
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… Read More »Where’s the Love – Trends in Data Science Career Opportunities
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… Read More »Role Conflicts and Deviant Behaviours
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 Centroid-based clustering organizes… Read More »Fine grained analysis of K- mean clustering and where we are using it
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… Read More »The Call for a New Device for Data Scientists
The analysis and classification of ordinal categorical data are central in most scientific domains and ubiquitous in governments and businesses. Examples of ordinal data are… Read More »The Homogeneity and Location Index: An open-source Statistical Framework for the classification of ordinal categorical data
I recently wrote a blog “Interweaving Design Thinking and Data Science to Unleash Economic V…” that discussed the power of interweaving Design Thinking and Data… Read More »How DevOps Drives Analytics Operationalization and Monetization
The gradient descent algorithm is one of the most popular optimization techniques in machine learning. It comes in three flavors: batch or “vanilla” gradient descent (GD), stochastic gradient… Read More »Machine Learning and Particle Motion in Liquids: An Elegant Link
