Building an Algorithm to Break Strong Encryption
Here I discuss breaking encryption keys that rely on the product of two very large prime numbers. In other words, the interest here is to factor a number (representing a ...
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IoT as a Metaphor
What exactly is “IoT”? Internet of Things, yes; but what does that mean? Internet of Things is a structural definition; it says there are “Things” such as sensors...
Tricks in Face Recognition
Last year I started developing a Face Recognition model. I started with static pictures and using Wolfram Mathematica. This year I found out we can do the same job using ...
Looking at the Big Picture: The Future of Big Data
At first there were a lot of different opinions, but now, almost everybody agrees that big data was able to take over the whole business world. A lot of businesses are re...
Response Modeling using Machine Learning Techniques in R
Response Modeling Using Machine Learning Techniques with R-Programming (WIP). I have tried to exhibit credit scoring case studies with German Credit Data. This article in...
Understanding machine learning: Do we need machine learning at all?
In the previous post of our Understanding machine learning series, we presented how machines learn through multiple experiences. We also explained how, in some cases, hu...
Digital Transformation in Utilities sector
It is easy to take for granted the technology we have at our disposal. We flick a switch and the lights go on, we turn on the tap and clean water comes out. We don’t ha...
Objectification of Incidents
Probably like most people, I tend to recognize data as a stream of values. Notice that I use the term values rather than numbers although in practice I guess that values ...
10 Dataviz Tools To Enhance Data Science
This article on data visualization tools was written by Jessica Davis. She’s passionate about the practical use of business intelligence, predictive analytics, an...
Detecting In-App Purchase Fraud with Machine Learning
This article contains phrases taken from the machine learning and analysis world. Data scientists and algorithm engineers will feel more comfortable with reading it altho...