In this installment, we've got links to great reading in the field of data science, courtesy of Yanir, Robert, Demet, and yours truly.
Charles Earl on identifying and overcoming bias in machine learning.
Sirin Odrowski introduces you to how we run A/B tests at Automattic using a tool we built called Hypotheses.
This week, we're bringing you links from Charles, Simon, and Carly featuring neural networks, a video advocating for morality in algorithms, and incredible music made by machines.
In the first of our Data Speaker Series posts, Thorsten Dietzsch shares how data products are managed at Zalando, a fashion ecommerce company.
How does meeting in person affect our interpersonal communication at Automattic? Demet Dagdelen reveals all.
This week, Sirin, Boris, and Demet have some recommended reading for you in the fields of descriptive data analysis, machine learning, and artificial intelligence.