How does one measure the effectiveness of a new Augmented Data Discovery solution? Once the business has chosen data democratization and implemented a self-serve analytics solution, it must measure ROI & TCO and establish metrics that will compare business results achieved before and after the implementation.
Without measurable results, it…Continue
Added by Kartik Patel on July 31, 2019 at 4:20am — No Comments
Whether we know it or not, we use Natural Language Processing every day. It makes it easier for us to interact with computers and software and allows us to perform complex searches and tasks without the help of a programmer, developer or analyst.
In this, the last article in our three-article series we discuss Natural Language Processing and…Continue
Added by Kartik Patel on June 24, 2019 at 8:30pm — No Comments
The Merriam-Webster dictionary defines the word 'augment' this way: 'to make greater, more numerous, larger or more intense'. If you are wondering how this applies to the term 'augmented analytics', you are not alone. Let's take a closer look at Augmented Analytics and talk about why it has gotten so much attention in the business intelligence world.
What is Augmented…Continue
Business markets and competition are moving much more quickly these days and predicting, planning and forecasting is more important than ever. It is also important to ensure that every team member is a real asset to the organization and can contribute their knowledge and skill with full Insight into the effects and outcome of activities and processes and the ability to correct the course and make recommendations using clear, concise information. Advanced analytics is the…Continue
Added by Kartik Patel on April 2, 2019 at 1:52am — No Comments
What is Automated Machine Learning? Quite simply, it is the means by which your business can optimize resources, encourage collaboration and rapidly and dependably distribute data across the enterprise and use that data to predict, plan and achieve revenue goals.
With the right tools, today’s average business user can become a Citizen Data Scientist, using data integrated from various sources to learn, test theories and make decisions. AutoML comes into play as…Continue
As the need for advanced analytics increases in organizations, enterprises large and small struggle to find and sustain the professional resources they need to meet their requirements for data, analysis and strategic direction.
In some businesses, Data Scientists, professional analysts and IT staff are often buried under requests for analysis and data and, as a result, these teams are unable to focus on strategic issues and on crucial questions that require 100%…Continue
Added by Kartik Patel on March 12, 2019 at 2:00am — No Comments
As an Applied Data Scientist at Civis, I implemented the latest data science research to solve real-world problems. We recently worked with a global tool manufacturing company to reduce churn among their most loyal customers. A newly proposed tool, called SHAP (SHapley Additive ex…Continue
Added by Civis Analytics on May 15, 2018 at 9:00am — No Comments
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
In this report, the spread of the pandemic influenza A (H1N1) that had an outbreak in Kolkata, West Bengal, India, 2010 is going to be simulated. The basic epidemic SIR model will be used, it…Continue
Added by Sandipan Dey on July 21, 2017 at 8:30am — No Comments
Variable reduction is a crucial step for accelerating model building without losing the potential predictive power of the data. With the advent of Big Data and sophisticated data mining techniques, the number of variables encountered is often tremendous making variable selection or dimension reduction techniques imperative to produce models with acceptable accuracy and generalization. The temptation to build an ecological model using all available information (i.e., all variables) is hard to…Continue
Added by Valiance Solutions on April 21, 2017 at 9:20pm — No Comments
As we all know CRISP DM stands for Cross Industry Standard Process for Data Mining is a process model that outlines the most common approach to tackle data driven problems. Per the poll conducted by KDNuggets in 2014 this was and “is” one of the most popular and widest used methodology. This method of gleaning insights out of the data is very dear to the industry experts and data miners.
As the title suggest I will align some of the most useful R packages with this most popular and…Continue
Ever wonder how you can create meaningful insights with your data? Tired of being asked what's your big data strategy, are you doing predictive analytics, or how you are making use of the latest technologies? There is a way for you to get what you need with Data Science. The key to new knowledge is to make sure you use Data Science in your organization.…Continue
Added by Damian Mingle on January 4, 2017 at 5:30am — 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.
Added by Damian Mingle on October 28, 2015 at 7:01am — No Comments
Business goals are no doubt important, but in an analytic project it makes sense to balance the organization's goals with…Continue
Added by Damian Mingle on October 13, 2015 at 5:59pm — No Comments
Added by Damian Mingle on October 6, 2015 at 3:27am — No Comments
The objective of my final project at Metis from weeks 9 to 12, is to categorize drivers based on their behaviour on the roads - their driving style and the type of roads that they follow.
The challenge associated with this objective is to identify uniquely a driver (and hence his proper “driving…Continue
Both R & Python should be measured based on their effectiveness in advanced analytics & data science. Initially, as a new comer in data science field we spend good amount of time to understand the pros and cons of these two. I too carried out this study solely for “self” to decide which tool should i pick to get in depth of data science. Eventually, i have started realizing that both (R & Python) has its space of mastery along with their broad support to data science. Here some…Continue
Natural language processing (NLP) involves machine learning, artificial intelligence, algorithms and linguistics related to interactions between computers and human languages. One important goal…Continue
Added by Michael Walker on August 20, 2013 at 7:27pm — No Comments
Added by Patricia Tenanty on April 13, 2012 at 7:30am — No Comments