Update ads.jobs.rst, data_science_job.rst, and 2 more files...

Author: qiuosier

docs/source/ads.jobs.rst

@@ -69,3 +69,4 @@ Module contents
    :members:
    :undoc-members:
    :show-inheritance:
+   :inherited-members:

docs/source/user_guide/jobs/data_science_job.rst

@@ -36,13 +36,14 @@ You can also :doc:`run_notebook`, :doc:`run_script` and :doc:`run_git`.
 YAML
 ====
 
-A job can be defined using YAML, as shown in the "YAML" tab.
+A job can be defined using YAML, as shown in the "YAML" tab in the example above.
 Here are some examples to load/save the YAML job configurations:
 
 .. code-block:: python
 
   # Load a job from a YAML file
   job = Job.from_yaml(uri="oci://bucket_name@namespace/path/to/job.yaml")
+
   # Save a job to a YAML file
   job.to_yaml(uri="oci://bucket_name@namespace/path/to/job.yaml")
 
@@ -134,7 +135,7 @@ To get a list of existing jobs in a specific compartment:
 
   from ads.jobs import Job
 
-  # Load a job
+  # Get a list of jobs in a specific compartment.
   jobs = Job.datascience_job("<compartment_ocid>")
 
 With a ``Job`` object, you can get a list of job runs:

docs/source/user_guide/jobs/overview.rst

@@ -28,4 +28,4 @@ Each model can write its results to the Logging service or Object Storage.
 Then you can run a final sequential job that uses the best model class, and trains the final model on the entire dataset.
 
 The following sections provides details on running workloads with OCI Data Science Jobs using ADS Jobs APIs.
-You can use similar APIs to `Run a OCI DataFlow Application <run_data_flow.html>`_.
+You can use similar APIs to :doc:`Run a OCI DataFlow Application <../apachespark/quickstart>`.

docs/source/user_guide/jobs/run_script.rst

@@ -4,7 +4,7 @@ Run a Script
 This section shows how to create a job to run a script.
 
 The :py:class:`~ads.jobs.ScriptRuntime` is designed for you to define job artifacts and configurations supported by OCI
-Data Science jobs natively. It can be used with any script types that is supported by the OCI Data Science jobs,
+Data Science Jobs natively. It can be used with any script types that is supported by the OCI Data Science Jobs,
 including shell scripts and python scripts.
 
 The source code can be a single script, files in a folder or a zip/tar file.