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May 2020 Blog Posts (84)

The Influence of AI and ML on Online Education

The world has been witness to some profound changes over the past couple of decades. For example, we can shop for furniture without needing to leave our house or even send money halfway across the world with a few taps on your smartphone’s screen. However, there is one aspect of human existence that has undergone some of the most profound changes of them all — learning. Yep. Today, education is no more confined to schools, colleges, or other educational facilities. Today, students have not…

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Added by Ryan Williamson on May 6, 2020 at 8:52pm — No Comments

Johns Hopkins Covid-19 Data and R, Part I -- data.table handling.

Summary: This blog showcases the handling of daily data of cases/deaths from Covid-19 in the U.S. published by the …

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Added by steve miller on May 6, 2020 at 8:27am — No Comments

Why CEOs need to be Deeply Involved in a Data Quality Project

What’s the #1 enemy to profitable machine learning, AI & data-driven initiatives?

Dirty data.

And who has had data on their agenda for a decade but are still not deeply involved in data projects?

The CEO.

In a 2019 Deloitte survey, 63% of…

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Added by Farah Kim on May 6, 2020 at 4:00am — No Comments

Build interactive Tree like D3.js in R

Last year while working on some natural language projects, I happen to stumble on the D3 charts. I was impressed by the quality of the charts and the amount of information one can share using those charts. In particular, I picked a collapsible dendrogram as I wanted to showcase how different topics are related hierarchically. 

Since then, I used and built many interactive charts using some of the most famous packages like plotly and gganimate ( it is an extension of…

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Added by Mohit Sharma on May 5, 2020 at 11:00pm — No Comments

Simple Trick to Dramatically Improve Speed of Convergence

We discuss a simple trick to significantly accelerate the convergence of an algorithm when the error term decreases in absolute value over successive iterations, with the error term oscillating (not necessarily periodically) between positive and negative values. 

We first illustrate the technique on a well known and simple case: the computation of log 2 using its well know, slow-converging series. We then discuss a very interesting and more complex case, before finally focusing on a…

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Added by Vincent Granville on May 5, 2020 at 1:30pm — No Comments

How to remove duplicates in large datasets

This article was written by Suresh Kondamudi.

Dealing with large datasets is often daunting. With limited computing resources, particularly memory, it can be challenging to perform even basic tasks like counting distinct elements, membership check, filtering duplicate elements, finding minimum, maximum, top-n elements, or set operations like union,…

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Added by Andrea Manero-Bastin on May 5, 2020 at 11:00am — No Comments

A Data Scientist’s Perspective on Microsoft R

This article was written by Lixun Zhang.

As a data scientist, I have experience with R. Naturally, when I was first exposed to Microsoft R Open (MRO, formerly Revolution R Open) and Microsoft R Server (MRS, formerly Revolution R Enterprise), I wanted to know the answers for 3 questions:

  • What do R, MRO, and MRS…
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Added by Andrea Manero-Bastin on May 5, 2020 at 10:30am — No Comments

Can crime be predicted ? Does crime follow a natural rate?

Preface :

Violence is a social phenomenon and has a central role to play in assessing societal developments. Does the trend of subcategories of crime indicate a shift in societal structure ? If yes then then how accurately can we predict it and what can we do about it ? I have tried analysing crime in India over 15+ years in the…

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Added by avinash laddha on May 5, 2020 at 3:32am — No Comments

Business Analytics VS Data Science



We will talk about two chief technologies that deal with data namely Business Analytics and Data Science. The latter is specific to customer choice, geographical influences concerning the business, and the former deals with business issues that relate to profit, cost, etc. …

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Added by Akshay.S on May 5, 2020 at 3:00am — 2 Comments

Building Up Stable Data Science Teams

Most of the big organizations are struggling with AI transformation. Data science projects are either taking too long to complete or would never get into production. 

Among various reasons, the most common is the lack of a stable data science team. Due to high demand, the turnover rate is very high in data science, unfortunately. Data science managers or leaders typically go around this problem by focusing on the following:

  • acquire best data science talent
  • retain…
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Added by Nasir Mahmood on May 5, 2020 at 1:30am — No Comments

For Better or Worse Analytics and Data Science are Converging

Summary:  Analytic Platforms are rapidly being augmented with features previously reserved for data scientists.  They are presented as easy to use but require substantial data literacy and advanced DS skills for the most complex.  Business users and analysts can pursue more complex problems on their own, but need good oversight.

 …

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Added by William Vorhies on May 4, 2020 at 1:06pm — No Comments

COVID-19 Social Distancing Has Mitigated 2020 Flu Season

by Mike Thurber, Principal Scientist, Elder Research

Three weeks ago, our Brief Is the Spread of the COVID-19 Coronavirus Being Slowed…

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Added by Paul Derstine on May 4, 2020 at 6:02am — No Comments

Coronavirus: Age and Health

by Peter Bruce, President & Founder, Statistics.com

Although there are frequent reports in the news media of young people contracting serious cases of COVID-19 and even dying, the disease in its serious form is…

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Added by Paul Derstine on May 4, 2020 at 6:00am — No Comments

COVID-19 Asymptomatic Rates and Implications

by Mike Thurber, Principal Scientist, Elder Research

A key issue for COVID-19 response policies moving forward is the asymptomatic rate - people who have the virus but do not show symptoms.  If all the people who get the virus show symptoms, then despite the wide scope of the current outbreak,…

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Added by Paul Derstine on May 4, 2020 at 5:30am — No Comments

Covid-19: Epidemiological Models vs. Statistical Models

by Peter Bruce, President & Founder, Statistics.com

Nearly everyone is now familiar with the IHME Covid-19 forecasts (also called the “Murray” model after the lead project investigator at the Institute for…

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Added by Paul Derstine on May 4, 2020 at 5:30am — No Comments

Is the Spread of the COVID-19 Coronavirus Being Slowed?

by Mike Thurber, Principal Scientist, Elder Research

The COVID-19 pandemic has created a need for clear and actionable analytics like never before. The world can’t wait for controlled scientific studies to be completed, or dodge with, “We can’t say anything until we get more data.”…

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Added by Paul Derstine on May 4, 2020 at 5:30am — No Comments

The Effect IoT Has Had on Software Testing

We always knew that the evolution of technology would lead us to newer avenues and opportunities in life. But little did we imagine that there would come a day that we would have a technology that would allow us to turn off electric appliances in our house from our office. No more “Did I turn it off” conundrums! That is the magic of the Internet of Things. And here’s an interesting statistic about this rockstar of technology: The number of connected devices in the world was 8.4 billion,…

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Added by Ryan Williamson on May 4, 2020 at 4:23am — No Comments

Evolution Of Process Mining: A Look At The History

Process mining is changing the way enterprises operate and manage their processes. It tells the process ‘as-is’ and ensures that enterprises and process owners have complete knowledge of the working of their process. In their pursuit of process excellence, businesses can use process mining to truly know their process, evaluate it with the ideal process model, and optimize it when needed. Today, it is a game-changer in the business world but things were not the same just two decades…

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Added by Sonika Aggarwal on May 4, 2020 at 2:30am — No Comments

Weekly Digest, May 4

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…

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Added by Vincent Granville on May 3, 2020 at 3:30pm — No Comments

3 Big Ways How AI Is Changing The Retail Industry

According to the Consumer Technology Association, AI has a lot of benefits in the retail sector from the consumer experience, minimized cost, enhanced productivity, faster resolution of business problems, quicker delivery of products and services. 

The increased AI…

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Added by Ashok Sharma on May 3, 2020 at 12:52pm — No Comments

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