Apply suggestions from code review

Co-authored-by: David Widmann <[email protected]>

Author: st--

docs/src/kernels.md

@@ -234,7 +234,7 @@ where $i\in\{-1,0,1,2,3\}$ and coefficients $a_i$, $b_i$ are fixed and residuals
 The [`TransformedKernel`](@ref) is a kernel where inputs are transformed via a function `f`:
 
 ```math
-  k(x,x';f,\widetile{k}) = \widetilde{k}(f(x),f(x')),
+  k(x,x';f,\widetilde{k}) = \widetilde{k}(f(x),f(x')),
 ```
 where $\widetilde{k}$ is another kernel and $f$ is an arbitrary mapping.
 

docs/src/transform.md

@@ -4,6 +4,6 @@
 There is a more general `Transform`: `FunctionTransform` that uses a function and applies it on each vector via `mapslices`.
 You can also create a pipeline of `Transform` via `TransformChain`. For example, `LowRankTransform(rand(10,5))∘ScaleTransform(2.0)`.
 
-A transformation can be applied to a matrix or a vector via `KernelFunctions.apply(t::Transform, v::AbstractVecOrMat)`
+A transformation `t` can be applied to a matrix or a vector `v` via `KernelFunctions.apply(t, v)`.
 
-Check the list on the [API page](@ref Transforms)
+Check the list on the [API page](@ref Transforms).