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Data Science and Machine Learning: Making Data-Driven Decisions
This 10-week online program covers statistics and Python foundations, machine learning, prediction, recommendation systems, and more. -
Making data-informed Covid-19 testing plans
A new web-friendly modeling tool helps organizations build tailored Covid-19 testing strategies that can save money and reduce coronavirus spread. -
MicroMasters in Statistics and Data Science
Learn data science methods and tools, get hands-on training in data analysis and machine learning, and find opportunities in a growing field. Watch our latest informational webinar.
When should someone trust an AI assistant’s predictions?
MIT researchers, including SES-IDPS doctoral student Hussein Mozannar, created a method that helps humans develop a more accurate mental model of...
The promise and pitfalls of artificial intelligence explored at TEDxMIT event
MIT scientists discuss the future of AI with applications across many sectors, as a tool that can be both beneficial and harmful.
Tackling hard computational problems
SDSC core faculty David Gamarnik has developed a new tool, the Overlap Gap Property, for understanding computational problems that appear intractable.
Feb
04
Feb
18
Feb
25
Stochastics and Statistics Seminar
Yue Lu, Harvard University
E18-304
February 25 @ 11:00 am - 12:00 pm
Mar
11
Stochastics and Statistics Seminar
Isaiah Andrews, Harvard University
E18-304
March 11 @ 11:00 am - 12:00 pm
Mar
18
Stochastics and Statistics seminar
Gérard Ben Arous, NYU Courant
E18-304
March 18 @ 11:00 am - 12:00 pm
