The Physics of Data with Alpha Lee - #377
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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Bridging Chemistry and Machine Learning
This chapter explores the speaker's transition from a chemistry background to integrating machine learning within materials science. They discuss their academic journey, the role of Bayesian approaches in managing uncertainty, and the implications of machine learning in drug discovery. Emphasizing the complexities of experimentation and the importance of generalizable frameworks, the chapter highlights the intersection of theoretical physics and practical applications in material research.
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