Clarify description of MLTransform. (#29539)

examples/notebooks/beam-ml/mltransform_basic.ipynb

@@ -55,7 +55,7 @@
         "id": "d3b81cf2-8603-42bd-995e-9e14631effd0"
       },
       "source": [
-        "This notebook demonstrates how to use `MLTransform` to preprocess your data for machine learning models. `MLTransform` is a `PTransform` that wraps multiple Apache Beam data processing transforms. With `MLTransform`, you can preprocess different types of data in multiple ways with one transform.\n",
+        "This notebook demonstrates how to use `MLTransform` to preprocess data for machine learning workflows. Apache Beam provides a set of transforms for preprocessing data for training and inference. The `MLTransform` class wraps various transforms in one PTransform, simplifying your workflow. For a list of available preprocessing transforms see the [Preprocess data with MLTransform](https://beam.apache.org/documentation/ml/preprocess-data/#transforms) page in Apache Beam documentation.\n",
         "\n",
         "This notebook uses data processing transforms defined in the [apache_beam/ml/transforms/tft](https://beam.apache.org/releases/pydoc/current/apache_beam.ml.transforms.tft.html) module."
       ]
@@ -664,4 +664,4 @@
   },
   "nbformat": 4,
   "nbformat_minor": 5
-}
+}