Machine Learning for Materials Science: Part 1

Machine learning and data science tools applied to materials science

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Version 1.4 - published on 19 Mar 2021

doi:10.21981/8NFE-2F13 cite this

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    Aanis Ahmad

    4.0 out of 5 stars

    This was a very well presented lecture. It was organized in a workshop manner which allowed viewers to follow along and become familiar with machine learning techniques. 3 main machine learning techniques were discussed; Deep Learning (supervised learning), Decision Trees, and Random Forests. I got a good insight into all of these algorithms and this will help me significantly in my research. Furthermore, I learned some new tools which I believe I could use such as “plotly”. I hope to attend more of these lectures to advance my skills.

    The only downside was that the tutorial went by very fast which made it difficult to keep up. But apart from that, I think this was a fantastic lecture.

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    William Isaac Nation

    5.0 out of 5 stars

    Very epic

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