A brief overview of the Python programming language, with an emphasis on tools relevant to data scientists. This lecture was part of the 2018 Neurohackademy, a 2-week hands-on summer institute in neuroimaging and data science held at the University of Washington eScience Institute.

Jake Vogel gives a hands-on, Jupyter-notebook-based tutorial to apply machine learning in Python to brain-imaging data.

The lesson was presented in the context of the BrainHack School 2020.

This lesson from freeCodeCamp introduces Scikit-learn, the most widely used machine learning Python library.

The INS Emerging Issues Task Force held a virtual panel discussion on the evolving role and increased adoption of digital applications to deliver mental health care. It was held as a session at the annual conference of the Italian Society for Neuroethics. Speakers were:

• Nicole Martinez Martin, Stanford University
• Cynthia Sieck, Ohio State University
• John Torous, Harvard Medical School
• Anthony Weiss, Beth Israel Deaconess Medical Center