Update the Beam ML readme (#29031)

examples/notebooks/beam-ml/README.md

@@ -57,6 +57,7 @@ This section contains the following example notebooks.
 * [Apache Beam RunInference with Hugging Face](https://github.com/apache/beam/blob/master/examples/notebooks/beam-ml/run_inference_huggingface.ipynb)
 * [Apache Beam RunInference with XGBoost](https://github.com/apache/beam/blob/master/examples/notebooks/beam-ml/run_inference_xgboost.ipynb)
 * [Use RunInference with TFX](https://github.com/apache/beam/blob/master/examples/notebooks/beam-ml/run_inference_tensorflow_with_tfx.ipynb)
+* [Use RunInference with a remotely deployed Vertex AI endpoint](https://github.com/apache/beam/blob/master/examples/notebooks/beam-ml/run_inference_vertex_ai.ipynb)
 * [Use RunInference in Apache Beam](https://github.com/apache/beam/blob/master/examples/notebooks/beam-ml/run_inference_pytorch_tensorflow_sklearn.ipynb)
 * [Use RunInference with a LLM](https://github.com/apache/beam/blob/master/examples/notebooks/beam-ml/run_inference_generative_ai.ipynb)
 * [Use RunInference with Beam's windowing semantics](https://github.com/apache/beam/blob/master/examples/notebooks/beam-ml/run_inference_windowing.ipynb)
@@ -67,8 +68,10 @@ This section contains the following example notebooks.
 * [Remote inference](https://github.com/apache/beam/blob/master/examples/notebooks/beam-ml/custom_remote_inference.ipynb)
 
 ### Machine Learning Use Cases
-* [Image Processing with Apache Beam](https://github.com/apache/beam/blob/master/examples/notebooks/beam-ml/image_processing_tensorflow.ipynb)
-* [Natural Language Processing with Apache Beam](https://github.com/apache/beam/blob/master/examples/notebooks/beam-ml/nlp_tensorflow_streaming.ipynb)
+
+* [Image processing with Apache Beam](https://github.com/apache/beam/blob/master/examples/notebooks/beam-ml/image_processing_tensorflow.ipynb)
+* [Natural language processing with Apache Beam](https://github.com/apache/beam/blob/master/examples/notebooks/beam-ml/nlp_tensorflow_streaming.ipynb)
+* [Speech emotion recognition with Apache Beam](https://github.com/apache/beam/blob/master/examples/notebooks/beam-ml/speech_emotion_tensorflow.ipynb)
 
 ### Automatic Model Refresh
 
@@ -77,12 +80,13 @@ This section contains the following example notebooks.
 ### Multi-model pipelines
 
 * [Ensemble model using an image captioning and ranking](https://github.com/apache/beam/blob/master/examples/notebooks/beam-ml/run_inference_multi_model.ipynb)
-* [Run ML Inference with Different Models Per Key](https://github.com/apache/beam/blob/master/examples/notebooks/beam-ml/per_key_models.ipynb)
+* [Run ML inference with multiple differently-trained models](https://github.com/apache/beam/blob/master/examples/notebooks/beam-ml/per_key_models.ipynb)
 
 ### Model Evaluation
 
 * [Use TFMA to evaluate and compare model performance](https://github.com/apache/beam/blob/master/examples/notebooks/beam-ml/tfma_beam.ipynb)
 
 ### Data processing
 
+* [Preprocess data with MLTransform](https://github.com/apache/beam/blob/master/examples/notebooks/beam-ml/mltransform_basic.ipynb)
 * [Preprocessing with the Apache Beam DataFrames API](https://github.com/apache/beam/blob/master/examples/notebooks/beam-ml/dataframe_api_preprocessing.ipynb)