391: Data Science Campfire Tales with John Elder

John Elder joins for an amazing podcast to share his data science "campfire tales" spanning over 20 years of his career in the industry. It will definitely help you in your work to incorporate some of the best principles. In this episode you will learn: • John’s first bungee jump [4:01] • Calculus vs. resampling [14:01] • Elder Research [21:11] • Domain knowledge advice [25:26] • The importance of instincts [41:52] • Ensembles and simplicity [59:33] • John’s opinions on neural nets [1:10:49] • Target shuffling method and the crisis in science [1:17:27] • What does the future of data science hold? [1:39:53] Additional materials: www.superdatascience.com/391