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Introduction to Machine Learning in Chemistry

In this mini-lecture Professor Mark Tuckerman (New York University) starts by introducing machine learning. Where do we come across machine learning in our everyday lives, and where has it been seen in the history of science? Most shopping portals online employ machine learning practices to learn better what their customers might buy, and also use it to suggest similar products to customers to encourage further purchases. Through this we begin to understand how machine learning models can be trained: how we teach them to understand what we want to see as outputs. We then move onto the inspirations of machine learning and neural networks, the human brain. What similarities do they share? To finish off, we learn about how machine learning advanced the field of protein folding hugely in 2020, and the exciting prospects of this for future research. Finally we look at an example of a machine learning model: the kernel method. This lecture is part of a larger course on Machine Learning. The full course can be found here: https://massolit.io/courses/machine-l... MASSOLIT works with university academics to produce short video lectures in the arts, humanities and social sciences. It is available to schools and colleges on an institutional license as well as via private subscription: https://www.massolit.io/?source=yt