Examine how the latest tools and algorithms driving modern and predictive analysis can be applied in different fields, even when using unstructured data.
Explore neural networks and other critical algorithms, while enhancing your ability to formulate problems as machine learning tasks and identify the appropriate method of solution based on problem class.
MIT is excited to announce the first Citizen Data Science Summit! Join us September 20, 2021 in Boston, Massachusetts or live online on and learn about challenges and opportunities to enable more people to work with data.
As data science has evolved over the past decade, it has become clear that more data means more questions. In order to meet the demand for new data driven insights, more individuals must be empowered to start answering questions.
Scientists from CSAIL came up with a way to better navigate the complexity of supporting computer program instructions. Their tool “VeGen” (pronounced “vegan”) automatically generates compiler plugins to effectively use more complicated instructions.
By measuring a person’s movements and poses, smart clothes developed at MIT CSAIL could be used for athletic training, rehabilitation, or health-monitoring for elder-care facilities.
A study from MIT shows how coronavirus skeptics have marshalled data visualizations online to argue against public health orthodoxy about the benefits of mask mandates. Such “counter-visualizations” are often quite sophisticated, using datasets from official sources and state-of-the-art visualization methods.
The rise of big data has led to an explosion in visualizations used in news articles and scientific papers. In particular, there’s been growing interest in interactive visualizations that allow readers to dig into the data themselves.
