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All Blog Posts Tagged 'predictive modeling' (140)

Scraping NSF Awards to Create Database of Active STEM Researchers

Contributed by Nathan Stevens. He enrolled in the NYC Data Science Academy 12-week full time Data Science Bootcamp program taking place between September 23, 2016 and December 23, 2016. The original article can be found here.

Introduction



There a numerous use cases for having a searchable database of active STEM (Science Technology…

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Added by NYC Data Science Academy on March 17, 2017 at 11:30am — No Comments

Weekly Digest, January 30

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.

Upcoming DSC Webinar

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Added by Vincent Granville on January 28, 2017 at 8:00am — No Comments

How Big Data Is Boosting Emergency Preparedness

We never feel prepared when disaster strikes – from the devastation of Hurricanes Katrina and Sandy to the Pacific earthquake that moved the main island of Japan and caused several meltdowns at a nuclear power plant in 2011, the destruction of both natural and manmade disasters can seem both immeasurable and unpredictable.

 

The rise of big data, however, is making it increasingly possible for communities and organizations to predict when a disaster will strike, preparing…

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Added by Larry Alton on January 23, 2017 at 5:30am — No Comments

Predictive Talent Acquisition Strategy

This article has been contributed by Carla Gentry .She is the Data Scientist at Talent Analytics, Corp. Full title: Can Pre-hire Talent Assessments Be a Part of a Predictive Talent Acquisition Strategy?

Over the past 30+ years, businesses have spent billions on talent assessments. Many of these are now being used to understand job candidates.  Increasingly, businesses are asking how (or if) a predictive talent…

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Added by Shay Pal on January 8, 2017 at 11:00am — 1 Comment

Difference between Machine Learning, Data Science, AI, Deep Learning, and Statistics

In this article, I clarify the various roles of the data scientist, and how data science compares and overlaps with related fields such as machine learning, deep learning, AI, statistics, IoT, operations research, and applied mathematics. As data science is a broad discipline, I start by describing the different types of data scientists that one may encounter in any business setting: you might even discover that you are a data scientist yourself, without knowing it. As in any scientific…

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Added by Vincent Granville on January 2, 2017 at 8:30pm — 19 Comments

Weekly Digest, November 28

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.

Featured Resources and Technical Contributions

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Added by Vincent Granville on November 26, 2016 at 3:30pm — No Comments

Neural Network Predictive Modeling Service

My name is John Blankinship, and I am offering a neural network predictive modeling service.  I have developed a set of C-language programs for the training, validation and delivery of Multilayer Perceptron neural network models.  Given a training set of observations, I am reasonably confident that I can build a neural network predictive model that will outperform an existing model with respect to independent validation data.  If I cannot develop a superior predictive model, then there is no…

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Added by John J. Blankinship on November 10, 2016 at 9:30am — No Comments

Response Modeling using Machine Learning Techniques in R

Response Modeling Using Machine Learning Techniques with R-Programming (WIP). I have tried to exhibit credit scoring case studies with German Credit Data.



This article includes detail programming of predictive modeling

1. Univariate And Bi-Variate Analysis

2. Information Value and Weight Evidence to access prediction power of variables

3. Multivariate Analysis and Dimension Reduction using Variable Clustering

4. Different Machine Learning Techniques and their…

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Added by Ariful Islam Mondal on October 13, 2016 at 10:30am — No Comments

Real Time Digital Image Processing of Agricultural Data

In my earlier articles, I had discussed about about application of Big data for gathering Insights on green revolution and witnessed about a research work on supply chain management using big data analytics on agriculture. Incrementally, got an opportunity to implement data science methodology (a game theory approach) to make the results of SCM as an incentive compatible one. However, in this article I am trying to discuss about a large scale digital image processing obtained using…

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Added by VINU KIRAN .S on September 18, 2016 at 3:30am — No Comments

15 most commented forum questions on DSC

We've published a list of most commented blogs a while ago. Forum questions are more technical in nature; you will find tons of tips and interesting thoughts in the numerous answers provided by Data Science Central members, to the following questions posted in the last 12 months:…

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Added by Vincent Granville on September 6, 2016 at 7:30am — No Comments

40 Techniques Used by Data Scientists

These techniques cover most of what data scientists and related practitioners are using in their daily activities, whether they use solutions offered by a vendor, or whether they design proprietary tools. When you click on any of the 40 links below, you will find a selection of articles related to the entry in question. Most of these articles are hard to find with a Google search, so in some ways this gives you access to the hidden literature on data science, machine learning, and…

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Added by Vincent Granville on July 4, 2016 at 10:00am — 4 Comments

Weekly Digest, June 27

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. 

Featured Resources and Technical Contributions

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Added by Vincent Granville on June 24, 2016 at 9:30am — No Comments

Inspiring Imagination In Data Science: Qualitative Profiling

Overview

“The only function of economic forecasting is to make astrology look respectable John Kenneth Galbraith

Predictive modeling and traditional ratemaking is an exercise of forecasting the future, whether directly or indirectly (indirectly as generalizing historical lessons to the future). But is such forecasting so hopeless as being same as seeing into a crystal ball?

The advantage of data scientist and actuaries is their close in contact with…

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Added by Syed Danish Ali on June 20, 2016 at 2:30am — No Comments

Machine Learning: An Analytical Invitation to Actuaries

This post highlights the various value-additions that machine learning can provide to actuaries in their analytical work for insurance companies. As such, a key problem of swapping specific risk for systematic risk in general insurance ratemaking is highlighted along with key solutions and applications of machine learning algorithms to various insurance analytical problems.

‘In pricing, are we swapping specific risk for systematic risk?’[1]

The…

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Added by Syed Danish Ali on June 20, 2016 at 1:30am — No Comments

Weekly Digest, June 20

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. 

Announcements

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Added by Vincent Granville on June 18, 2016 at 9:30am — No Comments

Weekly Digest, June 13

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. 

NYU Stern Masters in Business Analytics

  • Business Analytics is the intersection of business and data science, offering new opportunities for a competitive advantage. Please make sure you…
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Added by Vincent Granville on June 10, 2016 at 11:00am — No Comments

A Complete Tutorial to Learn Data Science with Python from Scratch

This article on a complete tutorial to learn Data Science with Pyhon from scratch, was posted by Kunal Jain. Kunal is a post graduate from IIT Bombay in Aerospace Engineering. He has spent more than 8 years in field of Data Science. He learned basics of Python within a week. And, since then, he has not only explored this language to the depth, but also has helped many other to learn this language.



Python was originally a general purpose language. But, over the years, with strong…

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Added by Emmanuelle Rieuf on June 9, 2016 at 10:00am — 1 Comment

Weekly Digest, June 6

Monday newsletter published by Data Science Central. Previous editions can be found here.  

Announcements

  • Business analytics spending will grow to $89.6 billion by 2018, according to IDC. Are you prepared? Start your PhD in Management and Decision Sciences in live online courses. Harness the power of Big Data and become a leader in banking, healthcare, technology or…
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Added by Vincent Granville on June 4, 2016 at 9:30am — No Comments

A Complete Tutorial to learn Data Science in R from Scratch

This article on a complete tutorial to learn Data Science in R from scratch, was posted by Manish Saraswat. Manish who works in marketing and Data Science at Analytics Vidhya believes that education can change this world. R, Data Science and Machine Learning keep him busy.

R is a powerful language used widely for data analysis and statistical computing. It was developed in early 90s. Since then, endless efforts have been made to improve R’s user interface. The journey of R language…

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Added by Emmanuelle Rieuf on June 2, 2016 at 2:00pm — No Comments

12 Great Data Science Articles by Bill Vorhies

Bill Vorhies is Editorial Director for DataScienceCentral, and President and Chief Data Scientist at Data-Magnum, providing predictive analytics and big data infrastructure projects as a service. Bill has been an active commercial predictive modeler since 2001.

Below, you will find a selection of his articles posted in the last two years. To check out his most recent…

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Added by Vincent Granville on June 2, 2016 at 9:00am — No Comments

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