Here are the latest articles from Microsoft regarding cloud data science products and updates.

Machine learning systems trained to minimize prediction error may often exhibit discriminatory behavior based on sensitive characteristics such as race and gender. One reason could be due to historical bias in the data. In various application domains including lending, hiring, criminal justice, and advertising, machine learning has been criticized for its potential to harm historically underrepresented or disadvantaged groups.

Jeff Leek ** 2018/05/17

D3.js is a JavaScript library used to manipulate documents based on data. It uses HTML, CSS, and SVG to create visual representations of data which can be viewed on any modern browser.

Roger Peng ** 2018/05/15

Two exciting NLP papers at ICML 2018!

Statistical power is a central concept in inference and experimental design. Nevertheless, some basic connections between the statistical power of experiments and the robustness of inference are often overlooked in practice. When running experiments with low power you risk much more than missing the detection of true effects. In this post I share two brief lessons about power: