UI, Notebook, SQL, R, Python, take a course, read a book, work with a consultant, or hire a data scientist? What is the best way to get started with Oracle Machine Learning? Depending on your data skills, ML knowledge, use case(s), deployment requirements, and personal preferences, you may embark on one journey or another. After you get going, what is the best way to accelerate your ML successes in both the near term and the long term? Listen to ML experts as they share their recommendations, experiences, and insights. We might even have some different points of view!
Panel: Tim Vlamis, Charlie Berger, Abi Giles-Haigh, Edelweiss Kammerman, Moderator: Roger Cressey