The Best Kept Secret in Data Science
Big Data is a big pain. Humans are generating data five times faster than the rate of economic growth. Each day we create 2.5 Exabytes of new data, ninety percent of whic...
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Machine Learning with C++ – Polynomial regression with Eigen
Hello, this is my third article about how to use modern C++ for solving machine learning problems. This time I will show how to make a model for polynomial regression pro...
From Data Dictionary to Meta Data with Simple Text Wrangling in Python
My last DSC blog left me a bit disappointed. While the loads of the beefy household and population files for the American Community Survey worked well, the data, just a...
Steps of Modelling
Regression analysis is a method to find functional relationships among variables. The relationship is expressed in the form of an equation or a model depicting connection...
The Golden Record: Explained
Where ‘big data’ appears to be the skeleton key that will unlock everything and all you want to know about your business, there’s more than meets the eye when it co...
Analyzing Geographic Data with QGIS – Part 1
Today I’m writing this post to explain how it’s possible to make geographic analysis and answer questions like: which is the richest area in my city? How many...
Applied Ontology and the Drivers of Data Recognition
I shared my story in a few blogs about returning to university to do a graduate degree. In my first class, I found myself being asked to define “ontology.” It was...
The DeepMind Strategy – How AI is Revolutionizing Business Models
This article was written by Francesco Corea. Image Credit: Sergey Tarasov/Shutterstock I. Overview: AI is introducing radical innovation even in the way we think about b...
Machine Learning Guide and Tutorial for Software Engineers
This article was written by Nam Vu on GitHub. What is it? This is my multi-month study plan for going from mobile developer (self-taught, no CS degree) to machine l...
Clustering – Algorithms for Partitioning and Assignments
K-means algorithm is a popular and efficient approach for clustering and classification of data. My first introduction to K-means algorithm was when I was conducting rese...