Linear Regression in Astronomy: Cartoon
This image comes from Xkcd, a webcomic of romance, sarcasm, math, and language. Created by Randall Munroe, he is a CNU graduate with a degree in physics. Before start...
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Improving Predictions with Ensemble Model
INTRODUCTION “Alone we can do so little and together we can do much” – a phrase from Helen Keller during 50’s is a reflection of achievements and successf...
Requirements Elicitation for Enterprise Business Analytics
When many organizations invest in new Business Intelligence (BI) tools and systems, much of the focus is put into the technical requirements of connecting the tool to the...
Debunking the 68 Most Common Myths About Big Data – Part 2
Summary: Continuing from out last article, we searched the web to find all of the most common myths and misconceptions about Big Data. There were a lot more than we t...
How to Treat Missing Values in Your Data
One of most excruciating pain points during Data Exploration and Preparation stage of an Analytics project are missing values. How do you deal with missing values –...
Using Machine Learning to Predict Customer Behaviour
For a service provider, being able to anticipate its customer’s behaviour has three major benefits. It can generate customer delight, prevent customer exhaustion, a...
7 Cases Where Big Data Isn’t Better
Summary: It’s become almost part of our culture to believe that more data, particularly Big Data quantities of data will result in better models and therefore better ...
Why the Time-Tested Science of Data Visualization Is So Powerful
For almost as long as we have been writing, we’ve been putting meaning into maps, charts, and graphs. Some 1,300 years ago, Chinese astronomers recorded the position of...
Will Big Data solve the Riemann Hypothesis?
The Riemann Hypothesis is arguably the most important unsolved problem in mathematics. It falls into an area called Analytic Number Theory which is essentially number the...
22 Timeless Reference Books
The books listed at the top are more recent and show the evolution (one might say the come back) of data science towards deep learning and AI. The books in the other half...