Something that has always troubled me with statistics is the pretense of certainty. The conclusions – being closely associated with calculations – tend to be reached rapidly. I… Read More »Challenge of Confirming Program Efficacy
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.… Read More »One Trillion Random Digits
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… Read More »Essential Math for Data Science
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… Read More »Why Organisations Nowadays Want an Analytics Platform
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… Read More »Why do people with no experience want to become data scientists?
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… Read More »Facial Recognition and its Applications
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,… Read More »Anomaly/Outlier Detection using Local Outlier Factors
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… Read More »The Math Behind Machine Learning
By Michael Heilman, Civis Analytics scikit-learn is a wonderful tool for machine learning in Python, with great flexibility for implementing pipelines and running experiments (see, e.g., this Civis… Read More »Prediction at Scale with scikit-learn and PySpark Pandas UDFs
An important principle of data science is that data mining is a process. It includes the application of information technology, such as the automated discovery… Read More »Business Problems and Data Science Solutions Part 1
