Brett Wujek, SAS
Automated machine learning, or AutoML as it is commonly known, is often promoted as a panacea for reaping the benefits of powerful analytical techniques without the requisite knowledge or experience. In the extreme, it is represented as an “easy” button; just provide the data and formulate your problem, and it will deliver models to use for making decisions. In reality, automation is used most effectively to augment, not replace, the manual activities and decisions throughout the analytics life cycle, allowing more time for creative exploration and reflection on the results and insights gained. In this session, you will see how the SAS® Viya® end-to-end analytics environment provides a natural and effective balance of automation and human interaction capabilities, with particular focus on SAS Visual Machine Learning.
Watch The Human-Machine Relationship in End-to-End Machine Learning on the SAS Users YouTube channel.