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Nonlinear regression - the basics
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1. Linear vs non-linear regression
2. Fit a polynomial (01:00)
3. Fit an exponential decay function (03:00)
4. Ordinary least squares (05:10)
5. How to use nonlinear regression in R (09:53)
6. The problem with local minima (12:30)
7. Why we should not transform the data (17:05)
* At minute 13:56 the SSE should be
2. Fit a polynomial (01:00)
3. Fit an exponential decay function (03:00)
4. Ordinary least squares (05:10)
5. How to use nonlinear regression in R (09:53)
6. The problem with local minima (12:30)
7. Why we should not transform the data (17:05)
* At minute 13:56 the SSE should be
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