Preambles and Future Directions
I will be using this blog to assemble a number of different concepts that I introduced over many years in previous blogs (indicated in bold); then I will explain where al...
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Dark Data: The billion dollar opportunity
Every organization collects, stores and retains portions of dark data. It’s the digital equivalent of emotional baggage which hangs around after every user interaction,...
Great list of resources: data science, visualization, machine learning, big data
Fantastic resource created by Andrea Motosi. I’ve only included the 5 categories that are the most relevant to our audience, though it has 31 categories total, incl...
A Beautiful Probability Theorem
We all know that, given two events A and B, the probability of the union A U B is given by the formula P(A U B) = P(A) + P(B) – P( AB) where AB represents the int...
Deciphering the Neural Language Model
Recently, I have been working on the Neural Networks for Machine Learning course offered by Coursera and taught by Geoffrey Hinton. Overall, it is a nice course and pr...
Want to know how to choose Machine Learning algorithm?
Machine Learning is the foundation for today’s insights on customer, products, costs and revenues which learns from the data provided to its algorithms. Some of the mos...
History of MySQL
This article was written on Database Friends. It is on Database, visualization and big data news. Blogs are about MySQL, PostgreSQL, Oracle, SQL Server and other DBMS. M...
Why data preparation should not be overlooked
Data is the new language today. Data leads to insights, and insights help organizations to make actionable business decisions. However, sourcing the data and preparing it...
How to build a search engine: Part 1
In this multi-part series, we will explore how to build a search engine. It will be quite powerful and industrial strength. The first part will focus on getting the righ...
Your Guide to Master Hypothesis Testing in Statistics
This article was written by Sunil Ray. Sunil is a Business Analytics and Intelligence professional with deep experience. Introduction – the difference in mindset I sta...