Predictive Analytics Times
Predictive Analytics Times
EXCLUSIVE HIGHLIGHTS
Exploring the Increased Significance of Third Party Data Within Big Data
 For today’s leading deep learning methods...
Dr. Data Show Video: Five Reasons Computers Predict When You’ll Die
  Watch the latest episode of...
How to Perfect Your Data Science Resume in 3 Easy Steps
 Breaking into the world of Data...
Robotic Modeler for Marketing Campaigns
 SUMMARY: Automated modeling is already in...

Elder Research

Are We Using Machine Learning?

 In the midst of a recent engagement an executive suddenly asked, “Are we using Machine Learning?”.  This caught us off-guard; working in the field for many years, we use the “learning sciences” virtually every day to solve hard problems.  Machine Learning (ML), Data Science (DS) and Artificial Intelligence (AI) are exciting and very powerful;...

Analytics Assessment: A Blueprint for Effective Analytics Programs

  If you are like me, when you first heard of analytics and its ability to benefit businesses, non-profits, and government agencies, you felt invigorated and excited, having to hold back the urge to...

Machine Learning Tip: Nested Cross Validation – When (Simple) Cross Validation Isn’t Enough

 Several scientific disciplines have been rocked by a crisis of reproducibility in recent years . Not long ago, Bayer researchers found that they were only able to replicate 25% of the important pharmaceutical papers they...

Analytics 101: Assessing Project Value

 The key question that organizations ALWAYS ask when undertaking an analytics initiative is “Can they guarantee value from the project?”   They want to know whether the return on their investment will be positive. But...

Uplift Modeling: Making Predictive Models Actionable

 Predictive models typically estimate the likelihood of future events, such as whether it will rain tomorrow or which customers are most likely to “churn” by cancelling their phone contract.  In the case of the...

Data Story Telling: Bringing Life to Your Data

 There is no doubt that a successful Data Scientist must be proficient in programming, modeling, and data munging (extracting, cleaning, and feature engineering data).  However, there is another key skill that is often overlooked: ...

Taking Action on Technical Success: A Fable of Data Science and Consequences

 Note: This story is fiction, but it is based on experience with real clients. Any resemblance to people you know is incidental. You can read the prequel to this episode here. Michael’s Tale, Continued...

Elder Research Positioned to Grow in Booming Data Science Market

 Strategy Set to Revolutionize the Delivery of Innovative Analytic Solutions Charlottesville, VA: The explosion of Big Data has driven an insatiable demand for extracting actionable value from data. Elder Research, known for innovative analytic...

Women in Data Science

 The field of Data Science is booming, yet comparatively few women are entering it. Why? What are the obstacles and opportunities facing them if they do? The path to change is challenging, but as...

Mid-Life Journey to Data Science

 Data Science has been hailed as the sexiest job of the 21st century. This news has understandably had an influence over today’s college undergraduates and even high school students. But can a person who...

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