John Elder Interviewed for the BerkleyHaas Data Science & Strategy Lecture Series

In this interview with John Elder, host Professor Greg La Blanc discusses the crisis of reproducibility in academic and scientific research and how Target Shuffling can help confirm results.

How Target Shuffling Can Tell if What Your Data Says is Real

John Elder presented “How Target Shuffling Can Tell if What your Data Says is Real” at the Haas School of Business, University of California, Berkeley, as part of the Data Science & Strategy Lecture Series.

Uplift Modeling: Making Predictive Models Actionable

The Path to Data Mining Success

The fourth and final part of Dr. Elder’s talk on the top ten data mining mistakes and how to avoid them. The Top Ten Mistakes are covered in chapter 20 of the Handbook of Statistical Analysis & Data Mining Applications.

Top 10 Data Science Mistakes

Interview with Data Scientist Dave Saranchak About Statistical Data Modeling Techniques for National Security Clients

Join IBM data science evangelist James Kobielus and Dave Saranchak, a data scientist with Elder Research, to discover how Dave develops and applies statistical data modeling techniques for national security clients.

Validating RightShip’s Qi Model for Maritime Vessel Risk

RightShip Qi brings the benefits of big data and predictive analytics to improve maritime safety and sustainability. Qi builds on the incumbent SVIS expert opinion platform, but harnesses big data, predictive analytics and real-time risk assessments to better target substandard maritime performance.

The Generalization Paradox of Ensembles

Netflix, Dark Knowledge, and Why Simpler Can Be Better

It is a Mistake to Answer Every Inquiry

Charlie Batch and the Cost of Obfuscation

Be a Data Detective

Haystacks and Needles Anomaly Detection

It is a Mistake to Listen Only to the Data

It Is a Mistake to Extrapolate

It is a Mistake to Discount Pesky Cases

It is a Mistake to Accept Leaks from the Future

Evaluate the Validity of Your Discovery with Target Shuffling

In this paper John Elder describes the power of Target Shuffling to evaluate the validity of your discovery. It’s particularly useful for identifying false positives.

Don’t Extrapolate

The third part of Dr. Elder’s talk on the top ten data mining mistakes and how to avoid them. The Top Ten Mistakes are covered in chapter 20 of the Handbook of Statistical Analysis & Data Mining Applications.

Don’t Rely on Only One Technique

A continuation of Dr. Elder’s talk on the top ten data mining mistakes and how to avoid them. The Top Ten Mistakes are covered in chapter 20 of the Handbook of Statistical Analysis & Data Mining Applications.