Every nascent industry needs to consider modern technology for leveraging competitive advantages in today's business world. They can leverage the power of the latest technology like blockchain, internet of things (IoT), augmented reality, or any other to be the frontrunner in the businesses. 

The business entrepreneurs have to make sure that they learn how this modern technology can benefit their business in the…

Summary:  An interesting documentary about the earliest days of AI/ML and my alternate take on how we should really be describing the development of our profession to the newly initiated.

What could be more natural in these days of the Corona Virus than binge watching great videos.  I was intrigued by a…

When the coronavirus broke out in the Wuhan province of China in December 2019, Taiwan was immediately in harm’s way.  Taiwan is less than 100 miles from the China mainland, and as recently as January there were a dozen roundtrip flights between Wuhan and Taipei every week. Yet as of March 19, Taiwan has only 108 cases of the coronavirus and one death.  Why?

Taiwan used the data from 2003 SARS (Severe Acute Respiratory Syndrome) epidemic that infected over…

Virtues should be digitized. As we speed toward reliance on machines to process more and more information and provide cognitive support for all types of decision-making, we must consider ways to imbue automated processes, data machinations and recommender systems with a sense of some of the finest human virtues.

We are at the crossroads of a moral…

In a previous blog post, I created a flow chart showing how to choose a statistical test from a dozen different tests. While researching the article, I came across a short and sweet version which only includes four of the more basic tests:…

Experts agree, the global AI, data science and big data markets are poised for significant growth over the next 5 year period. On behalf of Data Science Central and TechTarget, we invite you to share your thoughts on the current state of AI and data science adoption at your organization. Your feedback is very important to us and will help us further enhance the type of high-quality content experience you’ve come to expect from datasciencecentral.com.

The…

Monday newsletter published by Data Science Central. Previous editions can be found here. The contribution flagged with a + is our selection for the picture of the week. To subscribe, follow this link.  …

In the blog about ‘Is SQL Needed to be a Data Scientist?’, we have discussed the importance of SQL and basics of how knowledge of SQL helps with a successful data science career. In this blog, let us take that forward and discuss the same in more detail.

if you have some basic knowledge of SQL and are…

At first glance, the Lognormal, Weibull, and Gamma distributions distributions look quite similar to each other. Selecting between the three models is "quite difficult" (Siswadi & Quesenberry) and the problem of testing which distribution is the best fit for data has been studied by a multitude of researchers.

If all the models fit the data fairly…

Looking through the data available on the internet, reading news and listening to the last outcomes of the new coronavirus outbreak, decided to go moreover about this virulent impact on our society as a whole.

The first outcome has been registered on the 20th of January, following the WHO website statistical information, and the evolution has…

Emergencies preparedness in public health response have been advised on 31st of December 2019 by the WHO China Country Office because of Cases of pneumonia of unknown etiology. Of the first 44 cases reported 25% were severely ill while the remaining 75% resulted in stable conditions.…

Taken from pangolins, it has been found that the virus cause of COVID-19 is a “curse of the pangolin”.

The mammal Pangolin is hunted as game meat for both medicinal purposes and food consumption.

In addition, seven out of eight species of pangolins are threatened with extinction within the next generation. They have been a valuable commodity for…

We have a once in a lifetime opportunity to address one of modern society’s biggest challenges – the choice between healthcare or the economy.  For the past several decades, we have treated this as an “either or” choice between one or the other; that to improve the economy we must reduce healthcare spending or to improve healthcare we must sacrifice the economy.  To that sort of thinking I say BULL!

The coronavirus COVID-19 situation is showing us a very…

Did you ever wonder what’s a typical day of a data scientist like? A data scientist needs to explore data given to us and provide actionable insights, but how do we do that and is that all we do? Do we just sit in-front of a computer and code all day? Do we spend most of our day reading papers? Or is it something completely different? Let me walk you…

Summary: Since COVID-19 is occupying most of our thoughts these days, it seems appropriate to highlight where AI/ML is making a contribution to getting us out of our homes and back to work. 

Since COVID-19 is occupying most of our thoughts these days, it seems appropriate to highlight where AI/ML is making a…

Here are some (very) early outputs from an Agent-Based Model of COVID-19 that I'm currently developing.

It allows configuring a number of parameters including:

• population sizes (of healthy and infected people) by age
• distribution of vulnerability by age
• level of social distancing in effect by…

TL;DR

Artificial Intelligence, Machine Learning, and Deep Learning models have demonstrated significant power to grow and improve businesses. We have found that the best approach to AI production is what venture capitalists do when they evaluate and invest in startups.

A 2019 McKinsey survey found that a majority of executives whose companies have adopted AI solutions report that these solutions have provided an uptick in revenue, and 44 percent say that AI has reduced costs.…

Have you ever experience a situation where you want to import and combine hundred of datasets? If you do this manually, then it will take too much time. On the other hand, we can use a simple R programming to solve this problem in easily and quickly. Therefore, I would like to share two methods of combining all small files in a directory into a single dataset…