Revert inadvertent changes for two doc files

Signed-off-by: Chong Gao <res_life@163.com>

Author: Chong Gao

docs/additional-functionality/advanced_configs.md

@@ -495,7 +495,7 @@ Name | Description | Default Value | Notes
 <a name="sql.exec.CartesianProductExec"></a>spark.rapids.sql.exec.CartesianProductExec|Implementation of join using brute force|true|None|
 <a name="sql.exec.ShuffledHashJoinExec"></a>spark.rapids.sql.exec.ShuffledHashJoinExec|Implementation of join using hashed shuffled data|true|None|
 <a name="sql.exec.SortMergeJoinExec"></a>spark.rapids.sql.exec.SortMergeJoinExec|Sort merge join, replacing with shuffled hash join|true|None|
-<a name="sql.exec.AggregateInPandasExec"></a>spark.rapids.sql.exec.AggregateInPandasExec|The backend for an ideAggregateInPandasExec Aggregation Pandas UDF. This accelerates the data transfer between the Java process and the Python process. It also supports scheduling GPU resources for the Python process when enabled.|true|None|
+<a name="sql.exec.AggregateInPandasExec"></a>spark.rapids.sql.exec.AggregateInPandasExec|The backend for an Aggregation Pandas UDF, this accelerates the data transfer between the Java process and the Python process. It also supports scheduling GPU resources for the Python process when enabled.|true|None|
 <a name="sql.exec.ArrowEvalPythonExec"></a>spark.rapids.sql.exec.ArrowEvalPythonExec|The backend of the Scalar Pandas UDFs. Accelerates the data transfer between the Java process and the Python process. It also supports scheduling GPU resources for the Python process when enabled|true|None|
 <a name="sql.exec.FlatMapCoGroupsInPandasExec"></a>spark.rapids.sql.exec.FlatMapCoGroupsInPandasExec|The backend for CoGrouped Aggregation Pandas UDF. Accelerates the data transfer between the Java process and the Python process. It also supports scheduling GPU resources for the Python process when enabled.|false|This is disabled by default because Performance is not ideal with many small groups|
 <a name="sql.exec.FlatMapGroupsInPandasExec"></a>spark.rapids.sql.exec.FlatMapGroupsInPandasExec|The backend for Flat Map Groups Pandas UDF, Accelerates the data transfer between the Java process and the Python process. It also supports scheduling GPU resources for the Python process when enabled.|true|None|

docs/supported_ops.md

@@ -1302,7 +1302,7 @@ Accelerator supports are described below.
 </tr>
 <tr>
 <td rowspan="1">AggregateInPandasExec</td>
-<td rowspan="1">The backend for an ideAggregateInPandasExec Aggregation Pandas UDF. This accelerates the data transfer between the Java process and the Python process. It also supports scheduling GPU resources for the Python process when enabled.</td>
+<td rowspan="1">The backend for an Aggregation Pandas UDF, this accelerates the data transfer between the Java process and the Python process. It also supports scheduling GPU resources for the Python process when enabled.</td>
 <td rowspan="1">None</td>
 <td>Input/Output</td>
 <td>S</td>