Subscribe to DSC Newsletter

All Blog Posts (6,407)

IoT - where are the stream analytics use cases?

I have been looking at this problem over a few years now
The IoT industry often speaks of handling both high volumes and high throughputs of data
However, currently, I find that there are not many use cases for IoT streaming analytics which are unique
The 'unique' and 'currently' bits…

Added by ajit jaokar on September 14, 2019 at 8:45am — No Comments

Weekly Digest, September 16

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.  


  • Building…

Added by Vincent Granville on September 14, 2019 at 8:30am — No Comments

Difference Between Stratified Sampling, Cluster Sampling, and Quota Sampling

What is the Difference Between Stratified Sampling and Cluster Sampling?

The main difference between stratified sampling and cluster sampling is that with cluster sampling, you have natural groups separating your population. For example, you might be able to divide your data into natural groupings like city blocks, voting districts…


Added by Stephanie Glen on September 14, 2019 at 5:28am — No Comments

The Data Lake Chronicles: Pitching Through Pain, Vampire Indecisions and Second Surgeries

There is a phrase in baseball about pitchers “pitching through pain” that refers to pitchers taking the mound to pitch even though they have aches and pains – sore arms, stiff joints, blisters, strained muscles, etc. The idea is that these pitchers are so tough that they can pitch effectively even though they are not quite physically right. 

However, when the human system is asked to do…


Added by Bill Schmarzo on September 13, 2019 at 7:35am — No Comments

Calculating Price Elasticity Through KNIME

As per Wikipedia, Price Elasticity of Demand (PED or ED or PE) is a measure used in economics to show the responsiveness, or change, of the quantity demanded of a good or service to a change in its price when nothing but the price changes. In more precise business terms, it helps in finding those products which have their sales more/less susceptible to price changes. As we know, the demand is inversely proportional to price, it is quite imperative to know this information for…


Added by saurabh ajmera on September 13, 2019 at 5:41am — No Comments

The 2019 Guide to Conquer Data Breaching

How secure is your data?

What measures do you take to hide your confidential data?

Can you confidently say that data breaching stands nowhere close to your security?

Data breaching is not new and neither will it disappear.

As technology rises with new developments,…


Added by Racheal Chapman on September 12, 2019 at 11:30pm — No Comments

10 Visualizations Every Data Scientist Should Know

Ancient ruins are sometimes discovered after long years investigating regions of the world covered by dense jungle or giant forests. The feeling of an archaeologist at that moment of discovery gives a window into the feeling data scientists often have when getting a view of their data — through visualizations — that clarifies a key aspect of the analysis.…


Added by Jorge Castanon on September 12, 2019 at 12:00pm — No Comments

Thursday News, September 12

This is our selection of featured articles and resources posted since Monday:


Technical Contributions


Added by Vincent Granville on September 12, 2019 at 10:30am — No Comments

What are the Typical Data Scientist Profiles on LinkedIn? Survey Results

The charts below represents the main findings of some recent analysis of 1,000 data scientist LinkedIn profiles, using a web scraper. It was limited to Singapore, and for people having "data scientist" on their profile. Of course, many have a different job title especially in fields such as Fintech (quant engineer) or Healthcare (biostatistician) but the findings are interesting nevertherless and seem to apply to other locales as well.

The first chart features the educational…


Added by Capri Granville on September 12, 2019 at 10:00am — No Comments

Banking in a digital ecosystem

Discussions, articles, and reports about the Artificial Intelligence (AI) opportunity across the financial services industry continue to proliferate amid considerable hype around the technology, and for good reason: The aggregate potential cost savings for banks from AI applications is estimated at $447 billion by 2023, with the front and middle office accounting for $416 billion of that total, per Autonomous Next, research seen by Malastare AI.

Most banks (80%) are highly aware of…


Added by Rihad Variawa on September 10, 2019 at 11:53pm — No Comments

RPA Healing the Healthcare Industry RPA Healing the Healthcare Industry

What is RPA?

Robotic Process Automation (RPA) is the utilization of programming with machine learning and AI capacities to deal with high-volume, repeatable tasks, and transactions. RPA is an innovation planned for computerizing business forms. Robotic Process Automation conveys direct productivity and improves accuracy transforming an organization’s workflow. Empowering RPA allows flexibility within the enterprise. Programming robots are easy to…


Added by Vinod Saratchandran on September 10, 2019 at 3:00am — No Comments

“Will china dominate AI?” – is the wrong question



Will china dominate AI?

When I spoke at the UK China business forum last month, I discussed this topic in response to an audience question.

In the current climate of nationalistic fervour, I see the same question asked in many guises.



Added by ajit jaokar on September 9, 2019 at 11:32am — No Comments

Turn your ERP failures into optimization success

ERP. No other three letters can strike such fear into the heart of a CFO. But why is this the case? And what can leaders do to solve this problem?…


Added by Matthew Gierc on September 9, 2019 at 9:00am — No Comments

Introduction to Various Reinforcement Learning Algorithms

This article was written by Steeve Huang.


Reinforcement Learning (RL) refers to a kind of Machine Learning method in which the agent receives a delayed reward in the next time step to evaluate its previous action. It was mostly used in games (e.g. Atari, Mario), with performance on par with or even exceeding humans. Recently, as the algorithm evolves with the combination of Neural Networks, it is capable…


Added by Andrea Manero-Bastin on September 9, 2019 at 12:30am — No Comments

Six Degrees of Separation Between Any Two Data Sets

This is an interesting data science conjecture, inspired by the well known six degrees of separation problem, stating that there is a link involving no more than 6 connections between any two people on Earth, say between you and anyone living (say) in North Korea.   

Here the link is between any two univariate data sets of the same…


Added by Vincent Granville on September 8, 2019 at 4:00pm — 4 Comments

Weekly Digest, September 9

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.

  • Find your…

Added by Vincent Granville on September 8, 2019 at 2:00pm — No Comments

How GANs and Adaptive Content Will Change Learning, Entertainment and More

This is the next blog in my random series on better understanding some of these advanced Artificial Intelligence and Deep Learning algorithms. This “episode” takes on Generative Adversarial Networks (GANs). Hope you enjoy my “Deep Learning” learning journey.

I originally wrote in “Transforming from Autonomous to Smart: Reinforcement Learning Basics” how…


Added by Bill Schmarzo on September 8, 2019 at 12:12pm — No Comments

Tai Chi of Civilization

It is not unusual for a person to encounter hurdles or barriers in social processes - for example, to obtain financial support to do a post-secondary program.  I drink decaffeinated coffee. Sometimes when I order coffee, perhaps due to lack of product demand I will receive a cup of coffee that is barely above room temperature.  This situation likewise extends from some kind of social process - e.g. to get the order out although it is not quite what I ordered.…


Added by Don Philip Faithful on September 8, 2019 at 6:38am — No Comments

Bayesian Machine Learning Part 5

Bayesian Machine Learning (part -5)

Introduction: Expectation-Maximization

In this blog we are going to see how Expectation-maximization algorithm works very closely. This blog is in strict continuation of the previous blog. Previously we saw how…


Added by Ashutosh vyas on September 7, 2019 at 11:42pm — No Comments

Two New Deep Conjectures in Probabilistic Number Theory

The material discussed here is also of interest to machine learning, AI, big data, and data science practitioners, as much of the work is based on heavy data processing, algorithms, efficient coding, testing, and experimentation. Also, it's not just two new conjectures, but paths and suggestions to solve these problems. The last section contains a few new, original exercises, some with solutions, and may be useful to students, researchers, and instructors offering math and statistics classes…


Added by Vincent Granville on September 7, 2019 at 9:30pm — No Comments

Blog Topics by Tags

Monthly Archives












  • Add Videos
  • View All

© 2019   Data Science Central ®   Powered by

Badges  |  Report an Issue  |  Privacy Policy  |  Terms of Service