Practical machine learning (Full Day)

This hands-on tutorial provides a quick start to building intelligent business applications using machine learning. Learn about machine-learning basics, feature engineering, anomaly detection, recommender systems, and deep learning as you are guided through all the steps of prototyping and production: data cleaning, feature engineering, model building and evaluation, and deployment.

Chris DuBois, Brian Kent, Roman Schindlauer, Krishna Sridhar, and Piotr Teterwak guide participants through building and deploying three large-scale machine-learning applications: a content-based recommender that tells you which talks you might be interested in at Strata, an image-search application built using deep learning, and an anomaly-detection application. Chris, Brian, Roman, Krishna, and Piotr explain all the steps of prototyping and production: data cleaning, feature engineering, model building and evaluation, and deployment. Topics include: Please check back here prior to the tutorial date for installation instructions.