How to be an Artificial Intelligence (AI) Expert?
Introduction Artificial Intelligence is growing at a rapid pace in the last decade. You have seen it all unfold before your eyes. From self-driving cars to Google Brain, ...
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Big Data as a Service, get easily running a Cloudera Quickstart Image with Dockers in GCP
It’s not a secret that containers technology (popularly known as dockers) is becoming one of the top choices in software projects [1], but What about data projects/clus...
Challenge of Confirming Program Efficacy
Something that has always troubled me with statistics is the pretense of certainty. The conclusions – being closely associated with calculations – tend to be rea...
One Trillion Random Digits
You will find here a few tables of random digits, used for simulation purposes and/or testing or integration in statistical, mathematical, and machine learning algorithms...
Essential Math for Data Science
This article was written by Tirthajyoti Sarkar. Below is a summary. The full article (accessible from link at the bottom) also features courses that you could attend to l...
Why Organisations Nowadays Want an Analytics Platform
With the nascent stage of the data revolution past us, organisations are entering a new level of proficiency in handling data expertly. Gone are the days when organisatio...
Why do people with no experience want to become data scientists?
Below is my contrarian answer to one question recently posted on Quora. It depends on what you mean by “no experience”. An NASA scientist who has processed petabytes ...
Facial Recognition and its Applications
Facial Recognition Facial recognition technology was always a mythical concept that we thought could be a tool that could solve many of our problems but would never see t...
Anomaly/Outlier Detection using Local Outlier Factors
Outliers are patterns in data that do not confirm to the expected behavior. While detecting such patterns are of prime importance in Credit Card Fraud, Stock Trading etc....
The Math Behind Machine Learning
Let’s look at several techniques in machine learning and the math topics that are used in the process. In linear regression, we try to find the best fit line or hyperpl...