In this episode of DataFramed, Hugo speaks with Cassie Kozyrkov, Chief Decision Scientist at Google Cloud. Cassie and Hugo will be talking about data science, decision making and decision intelligence, which Cassie thinks of as data science plus plus, augmented with the social and managerial sciences. They’ll talk about the different and evolving models for how the fruits of data science work can be used to inform robust decision making, along with pros and cons of all the models for embedding data scientists in organizations relative to the decision function. They’ll tackle head on why so many organizations fail at using data to robustly inform decision making, along with best practices for working with data, such as not verifying your results on the data that inspired your models. As Cassie says, “Split your damn data”.Links from the show

FROM THE INTERVIEW

• Cassie on Twitter 
• Is data science a bubble? (By Cassie Kozyrkov, Hackernoon)
• Incompetence, delegation, and population (By Cassie Kozyrkov, Hackernoon)
• Populations — You’re doing it wrong (By Cassie Kozyrkov, Hackernoon)
• What on earth is data science? (By Cassie Kozyrkov, Hackernoon)

FROM THE SEGMENTS

Probability Distributions and their Stories (with Justin Bois at ~19:45)

• Justin's Website at Caltech
• Probability distributions and their stories (By Justin Bois)

Machines that Multi-Task (with Friederike Schüür of Fast Forward Labs ~43:45)

• Sebastian’s Ruder’s Overview of Multi-Task Learning in Deep Neural Networks
• Multi-Task Learning for NLP, also by Sebastian Ruder
• GANs for Fake Celebrity Images (Karras et al, Nvidia)
• Adversarial Multi-Task Learning for Text Classification (Liu et al., arXiv.org)

Original music and sounds by The Sticks.