This month we have gathered tweets about some interesting talks, reads, and tutorials relating to AI. As artificial intelligence becomes integrated into daily life, #AI literacy becomes vital. In this @TEDTalks, PhD student and science communicator, @JordanBHarrod, explains how a basic understanding of AI has become a necessary part of everyday life. JAMA Fishbein Fellow, @angeldesaimd, speaks with scientist and entrepreneur Gary Marcus, PhD, about the potential of artificial intelligence in health care and the current #coronavirus #pandemic https://t.co/01GyRbrrOY "We need to measure the well-being impact of COVID-19, and we need to think about scalable mental health care. Now is the time to mobilize resources to make that happen."

Which machine learning algorithm should I use?

Which machine learning algorithm should I use?

Which machine learning algorithm should I use?

Don't know where or how to start learning? But learning more about artificial intelligence, and the myriad overlapping and related fields and application domains does not require a PhD. Getting started can be intimidating, but don't be discouraged; check out this motivating and inspirational post, the author of which went from little understanding of machine learning to actively and effectively utilizing techniques in their job within a year. With more and more institutes of higher learning today making the decision to allow course materials to be openly accessible to non-students via the magic of the web, all of a sudden a pseudo-university course experience can be had by almost anyone, anywhere. Have a look at the following free course materials, all of which are appropriate for an introductory level of AI understanding, some of which also cover niche application concepts and material.