Summary: A little history lesson about all the different names by which the field of data science has been called, and why, whatever you call it, it’s all the same thing.
Our profession of…Continue
Added by William Vorhies on December 4, 2019 at 3:12pm — No Comments
Big data is the buzzword today, isn’t it?
We live in the golden age of what…Continue
Added by Hiren patel on June 14, 2019 at 7:42pm — No Comments
According to a report conducted recently, it has been found that around 600 million people all around the globe use mobile devices. It also has been revealed that the users mostly use the mobile devices not just for making calls but also for using different mobile applications. The latest advancements of these devices alAlow for more engaging, complex and user-friendly applications. Because of this rapidly increasing prevalence among the universal population, mobile devices have become an…Continue
Added by David Fournier on May 16, 2018 at 11:00am — No Comments
Cluster.OBeu v1.2.1 release on CRAN
We are very pleased to announce Cluster.OBeu v1.2.1 on CRAN!Continue
Added by Kleanthis Koupidis on March 12, 2018 at 4:00am — No Comments
Data mining is the process of looking at large banks of information to generate new information. Intuitively, you might think that data “mining” refers to the extraction of new data, but this isn’t the case; instead, data mining is about extrapolating patterns and new knowledge from the data you’ve already collected.
Relying on techniques and technologies from the intersection of database management, statistics, and machine learning, specialists in data mining have dedicated their…Continue
Added by Larry Alton on December 22, 2017 at 7:30am — No Comments
It is not only about understanding about statistics, it is also about implementing the correct statistical approach or method. In this brief article I will showcase some common statistical blunders that we generally make and how to avoid them.
To make this information simple and consumable I have divided these errors into two parts:
In the wake of ZMOT (Zero Moment of Truth) it becomes pivotal for any product company to choose the most appropriate advertisement channel for the promotion of their products. This not only helps the organizations to maximize their chances of creating the best first impression but will also help them to be discovered by today’s tech savvy consumers.
Today we will talk about a very…Continue
Added by Sunil Kappal on December 30, 2016 at 8:30am — No Comments
At Grakn Labs we love technology. Here is our December 15th edition by Filipe Pinto Teixeira, where he looked back at Predictive Analytics.
[Introduction of Association Rules]
Sometimes, the anecdotal story helps you understand the new concept. But, this story is real. About 15 years ago, in Walmart, a sales guy made efforts to boost sales in his store. His idea was simple. He bundled the products together and applied some discounts to the bundled products. (Now, it became common practices in marketing) For example, this guy bundled bread with jam, so that customers easily found them together. Moreover,…
The Data Mining Group (DMG), a vendor-led consortium of companies and organizations developing standards for statistical and data mining models, announced the general availability of version 4.3 of the Predictive Model Markup Language (PMML).
Chicago, IL 8/2/2016 – The Data Mining Group is proud to announce the release of PMML v4.3. PMML is an application and system independent XML interchange format for statistical and data mining models. The goal of the PMML standard is to…Continue
Added by Michael Zeller on August 5, 2016 at 12:30pm — No Comments
Machine Learning? Data Mining?
Well, there is a little bit difference between machine learning and data mining although I don't see any difference between them.
See the Stackexchange debate on the difference between machine learning and data mining.
At the end, it is about training the machine to…
Added by Gregory Choi on April 7, 2016 at 4:30pm — No Comments
Complex stuff! However, we can start from the basics , gain confidence in understanding our dataset and utilise whatever has already been done by other stalwarts!
We have a 11 years monthly data on milk procurement by more than 100 milk co-ops spread across India. This contains their geographic location, quality of milk procured, price received , products made etc etc. This is a seasonal industry in India affected by weather, prices and in general crafty management acumen…Continue
Added by Subir Mitra on March 28, 2016 at 8:33am — No Comments
Data Science is the system used to extract insights from data that’s mined from various sources. Using various techniques including predictive modeling, Data Science helps to analyze and interpret vast amounts of data. The people who apply Data Science to manage large amounts of data are called Data Scientists. Let’s see how Data Science correlates with the…Continue
Added by Vaishnavi Agrawal on January 8, 2016 at 11:30pm — No Comments
If you’re relatively new to Machine Learning and it’s applications, you’ll more than likely have come across some pretty technical terms that are often difficult for the novice mathematician/scientist to get their head around.
Following on from a previous blog, (10 Common NLP Terms Explained for the Text Analysis Novice), we decided to put together a list of 10 Machine…Continue
This blog post was originally published as part of an ongoing series, "Popular Algorithms Explained in Simple English" on the AYLIEN Text Analysis Blog.
Picture added by the…Continue
Added by Khosrow Hassibi on April 22, 2015 at 11:00am — No Comments
From episode 10 of my Naked Analyst Channel on YouTube.
I think I do - and it is the ‘appification’ of analytics. What I mean by this is the reduction of a complex analytic activity such as market segmentation, down to a single button on your computer interface. Very much like the…Continue
The Telecom market is saturating and to increase their turnovers, operators are very creative and launch many innovative offers combining devices (mobile phone, MP3 players...), software (music downloads,...) and network (IP calls, ...). On another level, operators would first like to set trustworthy relationships with their good clients and therefore identify them and propose them quality services. To do so, the advanced knowledge of the customers’ past experience is fundamental. In fact,…Continue
Added by Michel Bruley on February 5, 2014 at 12:13am — No Comments
What is MDM and what does it involve?
MDM aims at referencing, managing and synchronising all the data across a company (e.g. products and customers data) to ensure the liability and preciseness. By using a good data management, the company will be able to simplify its processes, to avoid overlap and to ensure the quality and usability of the data. MDM has impacts on different levels for a company. On the business side, it affects speed,…
Added by Michel Bruley on January 2, 2014 at 12:48am — No Comments