Foundations of Data and Models: Regression Analytics

Monday, July 19, 2021 (8:00 AM - 5:00 PM) (EDT)

Description

This course aims to teach a suite of algorithms and concepts to a diverse set of participants interested in the general concept of fitting data to models. It starts with linear algebra and computational methods, and introduces some more difficult mathematical concepts towards the end. Participants from vastly differing fields are envisioned and encouraged to attend. Learn more: https://bit.ly/3qUx9hm 


Participant Takeaways 

  • Examining how to fit data to models 
  • Defining linear least squares, non-linear least squares, singular value decomposition, sensitivity analysis, experiment design, and parameter error estimation 
  • Appreciating grid search, random search, simulated annealing, genetic algorithms, neural networks, and large inverse systems 
  • Investigating principles leading to rapid application of methods 
  • Evaluating the results of pre-programmed computer exercises 


Did you know that as a Mass TLC member, you can receive a discount on MIT Professional Education - Short Programs and Digital Plus Programs? Use the MassTLC10 code at the time of registration to receive a 10% discount. 
Register and learn more: https://bit.ly/3qUx9hm

Live Virtual Program
Event Contact
Daniel Parent
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Monday, July 19, 2021 (8:00 AM - 5:00 PM) (EDT)
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