Introduction to Machine Learning for Materials Science And Engineering

Short-course to introduce key aspects of machine learning (ML) and artificial intelligence (AI) to materials science and engineering. Topics covered include:
- How to discover new materials
- Definition of machine learning and artificial intelligence
- Introduction to supervised and unsupervised machine learning
- Introduction to clustering, regression, and classification
- Introduction to artificial neural network
- Training vs. validation vs. test sets
- Inverse design with Bayesian optimization
- Typical machine learning pipeline: Data mining, data cleansing, fingerprinting, machine learning algorithm selection, model training, hyperparameter optimization, accuracy testing, deployment

[@anuragkashyap6247]

Sir, searching for such kind of start and you are insanely great.

[@8848nepalyt]

I finished watching all in two days. It was really nice. Especially introducing the concept of using the model in materials taking example of glass was the most important aspect of this video. Overall a nice and clear explanation. Thank you so much Dr. Mathieu. I wanted to know how far you have gone in using machine learning and AI in materials science. I set up my ultimate goal in addressing materials science using machine learning and AI. I am a physics graduate. I hope to learn more from you. Thank you.

[@RobinHood-zy5cl]

Insanely good !!!

[@user-lc2go3go9i]

Thank you for this amazing information I am planning to do my certificate in machine learning for materials science and engineering but I found a lots can you please let us know which university provide very good certificate program Note: I already have my master degree in materials Engineering back home before moving to USA

[@MRF77]

Thank you so much!

[@thagoonlprusiriyodlpru4174]

Thanks