AI + Education: AI Innovation Fellowship in Interdisciplinary Data Science
The AI Innovation Fellowship in Interdisciplinary Data Science equips students with in-demand skills like data analysis in Python, statistics in R, and machine learning with tools like Tensorflow and Keras. Leveraging these new tools, students build out a professional portfolio with a capstone project, AI + X, that draws on students' unique interest and domain expertise. Students in will use AI techniques to impactfully address practical education concerns to devise intelligent solutions– learning computational skills that give the potential to approach any problem with brilliance– from building communication systems to support diverse communities to detecting resume bias. Students will use their expertise to design imaginative resolutions cognizant of modern day learning techniques. For more information: Visit inspiritinnovators.com and see our AI + Education flyer.
The AI Innovation Fellowship in Interdisciplinary Data Science equips students with in-demand skills like data analysis in Python, statistics in R, and machine learning with tools like Tensorflow and Keras. Leveraging these new tools, students build out a professional portfolio with a capstone project, AI + X, that draws on students' unique interest and domain expertise. Students in will use AI techniques to impactfully address practical education concerns to devise intelligent solutions– learning computational skills that give the potential to approach any problem with brilliance– from building communication systems to support diverse communities to detecting resume bias. Students will use their expertise to design imaginative resolutions cognizant of modern day learning techniques. For more information: Visit inspiritinnovators.com and see our AI + Education flyer.
Applications are now open here: http://bit.ly/AIplusX If you have any questions, please feel free to contact Adeesh Goel at adeesh@alumni.stanford.edu or call +1 (803) 859-5855.