Digests » 40
this week's favorite
There are plenty of articles describing what Apache Airflow is and when would you want to use it. As it turns out, the problem it solves is really common not only among data science environments.
Since their entrance into mainstream political consciousness, Artificial Intelligence (AI) and Big Data have been seen a harbinger of either political doom or revolution.
In this paper, we share how we mined through historical A/B tests and identified the most common causes for invalid tests, ranging from biased design, self-selection bias to attempting to generalize A/B test result beyond the experiment population and time frame. Furthermore, we also developed scalable algorithms to automatically detect invalid A/B tests and diagnose the root cause of invalidity. Surfacing up invalidity not only improved decision quality, but also served as a user education and reduced problematic experiment designs in the long run.
How did Pollock’s colors usage evolved through time? To answer I decided to do some experiments with clustering, applying a few algorithms and plotting some charts.
As an amateur scientist, I analyze the dynamics of Long Short-Term Memory (LSTM) elements when applied to strings of characters. I show how the terminal padding characters have a relatively small impact on the dynamics of an LSTM element.