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...
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...
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...
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 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...
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....
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...
By Michael Heilman, Civis Analytics scikit-learn is a wonderful tool for machine learning in Python, with great flexibility for implementing pipelines and running exper...
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 and evalua...
Learn how to transform data into business insight with these Data Tutorials and eBooks. Deep Reinforcement Learning Hands-On By Maxim Lapan This practical guide will teac...