Updated README

README.md

@@ -6,7 +6,8 @@
 [![codecov](https://codecov.io/gh/JuliaDiff/HyperDualNumbers.jl/branch/master/graph/badge.svg)](https://codecov.io/gh/JuliaDiff/HyperDualNumbers.jl?branch=master)
 
 Unix/OSX:  [![Travis Build Status](https://travis-ci.org/JuliaDiff/HyperDualNumbers.jl.svg?branch=master)](https://travis-ci.org/JuliaDiff/HyperDualNumbers.jl)
-, Windows(64bit):  [![Build status](https://ci.appveyor.com/api/projects/status/github/JuliaDiff/HyperDualNumbers.jl?branch=master)](https://ci.appveyor.com/project/JuliaDiff/HyperDualNumbers-jl)
+
+Windows(64bit):  [![Build status](https://ci.appveyor.com/api/projects/status/github/JuliaDiff/HyperDualNumbers.jl?branch=master)](https://ci.appveyor.com/project/JuliaDiff/HyperDualNumbers-jl)
 
 Hyper-dual numbers can be used to compute first and second derivatives numerically without the cancellation errors of finite-differencing schemes. This Julia implementation is directly based on the C++ implementation by Jeffrey Fike and Juan J Alonso, both of Stanford University, department of Aeronautics and Astronautics and is described in the paper: