This interactive workshop introduces the principles and practices of machine learning using the Python programming language and its associated software packages. Topics to be covered include the application of prominent libraries such as scikit-learn for document classification and other types of analysis, as well as the use of cloud resources for deep-learning training and inference. The workshop assumes some basic understanding of Python and programming; attendance at the Introduction to Python workshop or equivalent experience is recommended.
This workshop is offered by Stanford Libraries' Center for Interdisciplinary Research as part of its mission to provide training in technical academic research practices and applied research methods. This workshop will be led by Peter Broadwell.