Update README.md

README.md

@@ -1,5 +1,7 @@
 # lmfit
 
+[![Build Status](https://dev.azure.com/nsls-ii/lmfit/_apis/build/status/NSLS-II.lmfit?branchName=master)](https://dev.azure.com/nsls-ii/lmfit/_build/latest?definitionId=4&branchName=master)
+
 This is the home page of **lmfit**,
 a self-contained C library for Levenberg-Marquardt
 least-squares minimization and curve fitting.
@@ -112,4 +114,4 @@ Assuming that data points _y_(_x_) follow Gaussian distributions with standard d
 
 ### How to deal with Poisson-distributed data
 
-Least-squares fitting is not justified for Poisson-distributed data -- except if the data are large enough (say, on average _y_ of the order of 10 or larger) so that the Poisson distribution is reasonably well approximated by a Gaussian with standard deviation _dy_=sqrt(_y_). When experimental data have on average too low values _y_ per channel, they should be binned into fewer channels with better statistics before any least-squares fitting.
+Least-squares fitting is not justified for Poisson-distributed data -- except if the data are large enough (say, on average _y_ of the order of 10 or larger) so that the Poisson distribution is reasonably well approximated by a Gaussian with standard deviation _dy_=sqrt(_y_). When experimental data have on average too low values _y_ per channel, they should be binned into fewer channels with better statistics before any least-squares fitting.