Ms. Lauren Milechin
Ms. Lauren Milechin in Research Computing at MIT. She conducts training for the MIT Supercloud system, and has done research work involving big data, database technology, and machine learning applied to problems in diverse domains. Previously, Lauren worked as Associate Technical Staff at the Lincoln Laboratory Supercomputing Center. Ms. Milechin received an MS degree in industrial mathematics from the University of Massachusetts, Lowell, focusing in computer science applications, such as machine learning and algorithms. She holds a BS degree in mathematical sciences from Worcester Polytechnic Institute, where she explored mathematical modeling of disease and of population dynamics.
Courses taught by Ms. Lauren Milechin
Practical HPC: Self-Paced
Practical HPC: Self-Paced
There comes a time when a laptop or desktop is not enough. The MIT Supercloud is available to the MIT community, MGHPCC partners, and collaborators to enable this sort of work. This course will get you ready to use the . . .
Trusted Analytics
Trusted Analytics
The Trusted Analytics course introduces students to topics of Artificial Intelligence and Machine Learning with an emphasis on building trust. The issue of trust affects confidence in the analytics and artificial intelligence-machine learning systems in tandem with developing the trust . . .
Artificial Intelligence Foundations
Artificial Intelligence Foundations
The course begins with a brief history of Artificial Intelligence (AI), including a survey of representative AI success stories and covers topics such as AI data requirements and conditioning, a selection of AI techniques including supervised learning, unsupervised learning and . . .
AI for Strategic Leaders: Unpacking the Black Box
AI for Strategic Leaders: Unpacking the Black Box
This is a technically demanding, project-based course delivered in partnership with Massachusetts Institute of Technology Lincoln Laboratory (MIT-LL). Students will achieve a working knowledge of machine-learning subsystem components and understand the key technical drivers for machine-learning solutions. This course is . . .