Multiple Comparisons and Conversion Optimizat...

Where did recommender systems come from, and how do we know when they're actually working? In part one of Data Skeptic's three-part Recommender Systems finale, Kyle traces the field from collaborative filtering and the Netflix Prize to matrix factorization and modern approaches, ...  Show more

Recommender systems influence nearly every aspect of our digital lives—but what does it mean for those systems to be fair? Robin Burke joins Data Skeptic to discuss the history of recommender systems, the limitations of optimizing purely for accuracy, and how ideas from social ch ...  Show more

Regression. Correlation. Normality. t-tests. Falsities of both the positive and negative varieties. How do these terms and techniques play nicely with digital analytics data? Are they the schoolyard bullies wielded by data scientists, destined to simply run by and kic ...

Kris Tait joins us to discuss the vast world of digital performance marketing and how automation, data, and optimization play an important role. In this episode you will learn: What is performance marketing? [3:29] How can advertisers take advantage of these tactics? [13:04] ...  Show more

In this episode of the SuperDataScience Podcast, I chat with Data Visualisation Designer, Nadieh Bremer. You will hear about the relationship between algorithm and visualization, learn the top data visualization tips, and ways of creating presentable visualizations and how to pre ...  Show more

We're joined this week by operations research specialist Sertalp B. Çay to discuss and demystify FPL's current data revolution. The sheer amount of data now available for fantasy managers can be intimidating. So, if you're inexperienced with analytics, where should you begin? ...