Using Data Science to Impact Healthcare
Data science has become such a part of everyday life that it is easy to lose sight of how this technology can assist entire industries… Read More »Using Data Science to Impact Healthcare
Data science has become such a part of everyday life that it is easy to lose sight of how this technology can assist entire industries… Read More »Using Data Science to Impact Healthcare
With more and more data being pushed online, the requirement of asynchronous web scraping services is at an all-time high. Many businesses are relying on the data-driven methodologies to… Read More »Asynchronous Web Scraping using Python
This simple picture shows the differences between descriptive statistics and Inferential statistics. More information about Descriptive and Inferential Statistics: What is “Descriptive Statistics”? What is… Read More »Descriptive vs. Inferential Statistics in One Picture
I introduce here a family of very peculiar statistical distributions governed by two parameters: p, a real number in [0, 1], and b, an integer… Read More »A Strange Family of Statistical Distributions
What if you had a corporate asset that was never used? Your first response might be that corporate asset obviously has no value. And you’d… Read More »Untapped Economic Assets? How to Monetize Your Dark Data
In 1956, American Computer specialist John McCarthy created the Dartmouth Conference, at which the term Artificial Intelligence was first adopted. Researchers Allen Newell and Herbert… Read More »7 Facts That Nobody Told You About Artificial Intelligence
Keras [Chollet, François. “Keras (2015).” (2017)] is a popular deep learning library with over 250,000 developers at the time of writing, and over 600 active… Read More »Tech Talk with Rowel Atienza: Is Keras the Perfect Deep Learning Library in Python?
The use of training, validation and test datasets is common but not easily understood. In this post, I attempt to clarify this concept. The post… Read More »Three-way data splits (training, test and validation) for model selection and performance estimation
By Pranay Agarwal and Betsy Romeri. “They just don’t understand me. I provide them with all the necessary details, all the data and analysis possible, but… Read More »How to Set the Stage for a Successful Data Science Project: A Sales Person’s Perspective
The problem with Cambridge Analytica is not the privacy breach TL;DR: Echo chambers created by CA or other political marketing firms are bad for democracy,… Read More »The problem with Cambridge Analytica is not (just) the privacy breach