Due to popular demand and high response, additional sessions have been added for the Hands-on training on data science & machine learning @ nanoHUB. Can you please forward the following note to your departments (faculty, postdocs, grads) on behalf of Prof. Alejandro Strachan, Materials Engineering, Deputy Director, nanoHUB, Last week nanoHUB launched a series of open, hands-on tutorials and office hours to jumpstart the use of data science and machine learning in research and teaching. All sessions reached capacity within a few hours and many of you were unable to sign up. To accommodate the high demand, we added new sessions and registration is now open: https://nanohub.org/groups/ml/handsontraining Topics to be covered: Session 1: Intro to Jupyter in nanoHUB, Pandas for data organization and plotting Session 2: Repositories and data management Session 3: Supervised learning part 1: linear regression and neural networks Session 4: Supervised learning part 2: classification and random forests Session 5: Unsupervised learning: dimensionality reduction via matrix decomposition Session 6: Sequential learning and design of experiments We hope that you can attend this workshop and walk away with enough information and practical skills to kickstart your foray into machine learning methods for your research or classroom use. Best regards, Prof. Ale Strachan, Materials Engineering, Purdue University Deputy Director, nanoHUB. http://nanohub.org/