Update README.md

README.md

@@ -9,13 +9,13 @@ is implemented in `pytorch`.
 What is Survival Analysis?
 ------------------------
 
-**Survival Analysis** involves estimating when an event of interest, \( T \)
-would take place given some features or covariates \( X \). In statistics
+**Survival Analysis** involves estimating when an event of interest, _T_
+would take place given some features or covariates _X_. In statistics
 and ML, these scenarios are modelled as regression to estimate the conditional
-survival distribution, ℙ (T > t | X).   
+survival distribution, _P_(_T_>t|_X_).   
 As compared to typical regression problems, Survival Analysis differs in two major ways:
 
-* The Event distribution, \( T \) has positive support i.e. T ∈ [0, ∞).
+* The Event distribution, _T_ has positive support i.e. _T_ ∈ [0, ∞).
 * There is presence of censoring i.e. a large number of instances of data are
   lost to follow up.