ClearBrain walks through our approach to product analytics, and how we predict causal lift for any user action without running an A/B Test.
Data Science is growing. It’s been called the “sexiest job of the 21st century”, and is attracting a flood of new entrants. But what does a data scientist do? And does your company actually need one?
These days we hear a lot about Artificial Neural Networks. Leading companies, from Facebook, to Google, to Zillow use them throughout their core products. But what are Neural Networks? And when should you use one?
We analyzed data fragmentation among the Alexa Top 1M domains over the past 3 years. A large fraction used at least one external user or marketing data source, and the rate is growing exponentially at 2.88X Y/Y.
After several months building on Apache Spark here are some lessons we learned about the benefits of DataFrame vs RDDs and several situations in which the RDD API may still be preferable.
In this post, we review common applications of Machine Learning, and the differences between the two subtypes of Supervised vs. Unsupervised Machine Learning.