To effectively train predictive models and drug discovery, we need large volumes of high-quality, clean, and linked data. However, preparing these data can be a costly and time-consuming task. In this webinar, Mya Steadman elucidates on the theme- “Building a Solid Data Foundation for Cutting Edge ML” and discusses strategies for training and enhancing the accuracy of predictive models.
Key Points Addressed
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