How Much Data Do We Need?

When you think you don't have enough data to start an important machine learning project, ask Tim.

In this presentation, Dr. Tim Oates discusses transfer learning, open source datasets and synthetic data, few shot learning, active learning, and semi-supervised learning. By the end of the session, you should understand what all of these methods are, when they are applicable, and what kinds of results you can expect from using them.



More questions? Request a 1-1 with Dr. Tim Oates.

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How Much Data Do We Need?

by Tim Oates, Chief Data Scientist at Synaptiq

I’ve spent hundreds of hours speaking with potential clients about how Synaptiq can help unlock value in their data.  I really enjoy these conversations; each one is different and I always learn something new, especially about the amazingly creative...