Data-driven products are becoming more and more ubiquitous. Humans build data-driven products. Humans are intrinsically biased. This bias goes into the data-driven products, confirming and amplifying the original bias. In this tutorial, you will learn how to identify your own -often unperceived- biases and reflect on and discuss the consequences of unchecked biases in Data Products.
Paula Gonzalez Avalos
Paula's love for working with Data brought her to the field of Data Science from her initial Natural Sciences background. Loving Teaching brought her to work as a Data Science Coach.Enjoying public speaking brought her to the PyData community - where she enjoys sharing and learning, and most recently organizing. Now she's working as Head of Data Science at Spiced Academy, although technically she's still on parental leave.