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All Blog Posts Tagged 'Modeling' (20)

How Do I Prove The Value Of Self-Serve Augmented Data Discovery?

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…

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Added by Kartik Patel on July 31, 2019 at 4:20am — No Comments

What is Natural Language Processing & How Does it Benefit a Business? (Part 3 of 3 articles)

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…

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Added by Kartik Patel on June 24, 2019 at 8:30pm — No Comments

What is Augmented Analytics and Can it Add Value to Business Intelligence?

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…

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Added by Kartik Patel on April 24, 2019 at 3:00am — 1 Comment

What Are the Necessary Components of an Advanced Analytics Solution?

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…

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Added by Kartik Patel on April 2, 2019 at 1:52am — No Comments

What is Automated Machine Learning (AutoML)?

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…

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Added by Kartik Patel on March 13, 2019 at 3:00am — 3 Comments

Can My Business Achieve Optimal Analytics Without Hiring Dozens of Data Scientists?

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%…

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Added by Kartik Patel on March 12, 2019 at 2:00am — No Comments

Demystifying Black-Box Models with SHAP Value Analysis

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…

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Added by Civis Analytics on May 15, 2018 at 9:00am — No Comments

SIR Epidemic model for influenza A (H1N1): Modeling the outbreak of the pandemic in Kolkata, West Bengal, India, 2010

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Summary

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…

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Added by Sandipan Dey on July 21, 2017 at 8:30am — No Comments

Variable Reduction: An art as well as Science

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…

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Added by Valiance Solutions on April 21, 2017 at 9:20pm — No Comments

Useful R Packages that Aligns with The CRISP DM Methodology

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…

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Added by Sunil Kappal on February 6, 2017 at 8:00am — 1 Comment

Data Devils Snapping At Your Heals

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.…

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Added by Damian Mingle on January 4, 2017 at 5:30am — No Comments

An Intro to Predictive Analytics: Can I predict the future?

At Grakn Labs we love technology. Here is our December 15th edition by Filipe Pinto Teixeira, where he looked back at Predictive Analytics.

*****…

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Added by Raphaelle Rf on December 23, 2016 at 6:00am — 2 Comments

3 Effortless Tactics to Be a Data Science Success in Business

"Move out of the way – I am ready to model.” That is the typical sentiment of a Data Science team when given a business…

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Added by Damian Mingle on October 28, 2015 at 7:01am — No Comments

Creating Value for Business: 2 Data Science Questions You Must Ask from the Start

Business goals are no doubt important, but in an analytic project it makes sense to balance the organization's goals with…

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Added by Damian Mingle on October 13, 2015 at 5:59pm — No Comments

5 Unbelievable Ways You Can Be a Better Data Scientist in Business

Most Data Scientists like to get their hands dirty with data just as quickly as possible, but it is important to practice…

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Added by Damian Mingle on October 6, 2015 at 3:27am — No Comments

Driving Behaviour as a Telematic Fingerprint

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…

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Added by DAGHER Philippe N. on April 11, 2015 at 11:49am — 2 Comments

(R + Python)

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…

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Added by Manish Bhoge on February 7, 2014 at 9:22pm — 4 Comments

Tool for Computing Continuous Distributed Representations of Words

Natural language processing (NLP) involves machine learning, artificial intelligence, algorithms and linguistics related to interactions between computers and human languages. One important goal…

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Added by Michael Walker on August 20, 2013 at 7:27pm — No Comments

Predictive Modeling is Useless!

If you’re a modeler, you might say, “who the heck is this guy telling me that my precious thing is useless?” Wait a minute. I will explain later. If you’re new to this, let me tell you what predictive modeling is: It is the power to predict the future. Like a prophecy, except its using data, lots of them. Sounds cool? Yes, but it’s useless. Sad? Me too. I’m also a modeler.



Let me tell you a story. Once upon a time, I was preaching in front of senior management on how we could get… Continue

Added by Eka Aulia on June 6, 2013 at 10:05pm — 1 Comment

BIG Data Mining and Predictive Modeling - Plate Tectonics, But Not an Earth Quake

BIG data, Mobile, Web, Cloud - Plate Tectonics, But Not an Earth Quake for Some -The Destruction/Construction of Trillion Dollars Shift in the Next 10 years

The desperation for change worth $100s Billions has started happening.  I see the signs in retail, health, security, and privacy that will get shaken due…
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Added by Patricia Tenanty on April 13, 2012 at 7:30am — No Comments

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