Examples using expressions with TabularDataset.filter()

## What example? Describe it

[There is extremely limited documentation on the use of supported expressions to use with the experimental Dataset.filter() feature.](https://docs.microsoft.com/en-us/python/api/azureml-core/azureml.data.tabulardataset?view=azure-ml-py#azureml-data-tabulardataset-filter)
The only two examples provided are filtering based on another column equality and `starts_with()` method.

It's difficult to try out this feature without knowing a list of supported expressions. For example, I wanted to filter a TabularDatsaet based on a list of values in a column using `dataset.filter(dataset['column'].isin(['a','b'])).to_pandas_dataframe()` but this immediately throws an error: AttributeError: 'RecordFieldExpression' object has no attribute 'isin'

## Ask
Provide documentation or more examples of supported filter expressions we can use with [`TabularDataset.filter`](https://docs.microsoft.com/en-us/python/api/azureml-core/azureml.data.tabulardataset?view=azure-ml-py#azureml-data-tabulardataset-filter)

Start with the linked TabularDataset.filter API documentation and the reported RecordFieldExpression error. Identify the supported filter expressions, then document them with examples, including filtering a column against multiple values. Done means the API documentation or examples clearly lists usable expressions and demonstrates their syntax.

Written by the indexing model from the issue text.