Creating maps in R using ggplot2 and maps libraries
Guest blog by Michael Grogan. Here is how we can use the maps, mapdata and ggplot2 libraries to create maps in R. In this particular example, we’re going to cre...
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15 Articles and Tutorials about Outliers
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, Hadoop, decision trees, ensembles, c...
Misuses of Statistics: Examples and Solutions
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, Hadoop, decision trees, ensembles, c...
Loop-Runtime Comparison R, RCPP, Python
The positive reactions on my last post: “Different kinds of loops in R” lead me to compare some different versions of loops in R, RCPP (C++ integration of R). To see ...
How To Choose An NLP Vendor For Your Organization
“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...
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 ...
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...
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...