docs: update namespace table of contents

PR-URL: #10022
Reviewed-by: Athan Reines <kgryte@gmail.com>

Author: stdlib-bot

lib/node_modules/@stdlib/ndarray/base/README.md

@@ -105,7 +105,7 @@ var o = ns;
 -   <span class="signature">[`flattenShape( shape, depth )`][@stdlib/ndarray/base/flatten-shape]</span><span class="delimiter">: </span><span class="description">flatten a shape to a specified depth.</span>
 -   <span class="signature">[`fliplr( x, writable )`][@stdlib/ndarray/base/fliplr]</span><span class="delimiter">: </span><span class="description">return a view of an input ndarray in which the order of elements along the last dimension is reversed.</span>
 -   <span class="signature">[`flipud( x, writable )`][@stdlib/ndarray/base/flipud]</span><span class="delimiter">: </span><span class="description">return a view of an input ndarray in which the order of elements along the second-to-last dimension is reversed.</span>
--   <span class="signature">[`forEach( arrays, fcn[, thisArg] )`][@stdlib/ndarray/base/for-each]</span><span class="delimiter">: </span><span class="description">invoke a callback function once for each ndarray element.</span>
+-   <span class="signature">[`forEach( arrays, fcn[, thisArg] )`][@stdlib/ndarray/base/for-each]</span><span class="delimiter">: </span><span class="description">invoke a callback function once for each element in an ndarray.</span>
 -   <span class="signature">[`array2ndarray( buf, order )`][@stdlib/ndarray/base/from-array]</span><span class="delimiter">: </span><span class="description">convert an array to a one-dimensional ndarray.</span>
 -   <span class="signature">[`scalar2ndarrayLike( x, value )`][@stdlib/ndarray/base/from-scalar-like]</span><span class="delimiter">: </span><span class="description">convert a scalar value to a zero-dimensional ndarray having the same data type as a provided ndarray.</span>
 -   <span class="signature">[`scalar2ndarray( value, dtype, order )`][@stdlib/ndarray/base/from-scalar]</span><span class="delimiter">: </span><span class="description">convert a scalar value to a zero-dimensional ndarray.</span>