Dylan Bargteil is a data scientist in residence at the Data Incubator, where he works on research-guided curriculum development and instruction. Previously, he worked with deep learning models to assist surgical robots and was a research and teaching assistant at the University of Maryland, where he developed a new introductory physics curriculum and pedagogy in partnership with the Howard Hughes Medical Institute (HHMI). Dylan studied physics and math at the University of Maryland and holds a PhD in physics from New York University.
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Fair play. You should bring a laptop, as you will be reading and writing code.
Our cloud provider for this training is Digital Ocean.
There has to be some hardware requirements. I have chrome on my phone. But is that enough? :)
Would it be possible to learn the name of the cloud provider?
There are no hardware requirements. The reason there are no software requirements is because we have provisioned environments for you on a cloud provider, thus all the required software is already and installed and running on provisioned hardware.
Is there any hardware requirement? May I please ask why there is no software required other than browser? Wouldn’t it be time saving for all if software are installed before coming to training?
The only program you will need a web browser; we recommend using Chrome or Firefox for best compatibility with the JupyterHub platform we’ll be using.
Hello. Is there anything that we need to bring installed on our computers to follow along in this training session?
There is no specific required reading prior to the training, but familiarity with Python (particularly NumPy) is critical and familiarity with basic calculus, linear algebra, and machine learning concepts is helpful, though not required.
Is there any reading required prior to this training?