Tired of hearing technical experts talk about machine learning algorithms and not understanding what they are saying? This webinar is intended for regulatory attorneys advising clients developing algorithms for regulated or nearly regulated uses. It will provide a broad understanding of the machine learning models including supervised, unsupervised, and deep learning. The webinar will also cover the importance of and challenges in mitigating explicit and implicit racial bias negatively impacting Blacks and ethnic minority groups in algorithmic design. The webinar will include a case study using machine learning on data from FDA on 510(k) summaries and include the use of natural language processing (i.e., how Alexa understands humans).