Dear Professor, Thank you for this short but clear video about the importance of reducing the variables for machine learning. It will surely add value to my research work.
The procedure works because the behavior of many complex engineering systems is often accurately described by a group of variables rather than individual variables. An example is the well-studied problem of the flow of fluid in a pipe. In principle, four variables, i.e., the pipe diameter, average fluid velocity, and the density and viscosity of the fluid can predict if the flow is laminar or turbulent. However, it is well accepted that the nature of the flow, laminar or turbulent, can be predicted by only one variable, the Reynolds number. The reduction in the number of variables can make many problems tractable. All the best in your research. T. DebRoy
Dear Professor DebRoy, Thank you and your outstanding research group for sharing this valuable video which clearly indicates the importance of physics-informed machine learning. As a researcher, I am very interested in utilizing this trick to fabricate defect-free parts by reducing the needed variables. Sincerely yours, Reza Motallebi
I am so happy to hear that you liked it. This video is mainly made by Barnali and Tuhin. We are doing well. I also saw the short video that you created using your iPhone while riding a motorcycle. When you have time and energy, please do write to me. All the best, Tarasankar DebRoy
It's a really fantastic and meaningful job. Many thanks for this vedio, Prof.
Thank you very much
Dear Professor, Thank you for this short but clear video about the importance of reducing the variables for machine learning. It will surely add value to my research work.
The procedure works because the behavior of many complex engineering systems is often accurately described by a group of variables rather than individual variables. An example is the well-studied problem of the flow of fluid in a pipe. In principle, four variables, i.e., the pipe diameter, average fluid velocity, and the density and viscosity of the fluid can predict if the flow is laminar or turbulent. However, it is well accepted that the nature of the flow, laminar or turbulent, can be predicted by only one variable, the Reynolds number. The reduction in the number of variables can make many problems tractable.
All the best in your research. T. DebRoy
fantastic video!, eye-opening indeed, many thanks Prof.
Dear Professor DebRoy,
Thank you and your outstanding research group for sharing this valuable video which clearly indicates the importance of physics-informed machine learning. As a researcher, I am very interested in utilizing this trick to fabricate defect-free parts by reducing the needed variables.
Sincerely yours,
Reza Motallebi
Many thanks!
The video can be summarized with "good feature engineering"
Thank you.
Tara Da, khubh bhalo laghlo. Bhalo aachho to?
I am so happy to hear that you liked it. This video is mainly made by Barnali and Tuhin. We are doing well. I also saw the short video that you created using your iPhone while riding a motorcycle. When you have time and energy, please do write to me. All the best, Tarasankar DebRoy