Launch a notebook session. Configure core-site.xml. Install a PySPark conda environ-ment. B. Develop your PySpark application Create a Data Flow application with the Ac-celerated Data Science (ADS) SOK

Configure core-site.xml. Install a PySPark conda environment. Create a Data Flow application with the Accelerated Data Science (ADS) SDK Develop your PySpark ap-plication. Launch a notebook session.

Launch a notebook session. Install a PySpark conda environment. Configure coresite. xml.

Develop your PySpark application. Create a Data Flow application with the Ac-celerated Data science (ADS) SDK.

Install a spark conda environment. Configure core-site.xml. Launch a notebook session: Create a Data Flow application with the Accelerated Data Science (ADS) SOK. Develop your PySpark application

Adding labels to image using semantic segmentation, by drawing multiple bounding boxes to an image.

Adding a single label to an image.

Adding labels to an image by drawing bounding box to an image, is not supported by Data Labeling

Adding labels to an image using object detection, by drawing bounding boxes to an im-age.

Adding multiple labels to an image.

Create the job in Data Science Jobs and then start the number of simultaneous job runs required for your workload.

Create the job in Data Science Jobs and start a job run. When it is done, start a new job run until you achieve the number of runs required.

Reconfigure the job run because Data science jobs does not support embarrassingly parallel.

Create a new job for every job run that you have to run in parallel, because the Date Science Jobs service can have only one job run per job.