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They use their knowledge of machine learning algorithms, programming languages, and datascience tools to build models that can be used to automate tasks and make predictions. Machine learning algorithms are a set of mathematical equations that are used to learn from data. Machine learning engineers with a Ph.D.
She received her PhD in AI from Stanford, advised by Dr. Andrew Ng. Before her PhD, she was an AIproductmanager at Google. She received her bachelor’s degree from Harvard in computer science and Classics. Finally, Sharon has served as an AI advisor in Washington D.C.
Implementation tip: Define clear objectives and constraints with domain experts before training AI models, ensuring alignment with real business priorities. For a detailed overview of predictive AI techniques, please refer to Chapter 4 of my book The Art of AIProductManagement. Sign up for more AI updates.
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