IBM Proof of Technology - Watson Studio

Description:

Use IBM’s Watson Studio and IBM Cloud services to create a working cloud-based application from start to finish. Participants will be led through a series of three labs that build upon one another so it is important that they are completed in order. A fourth lab will explore additional features of Watson Studio.

1. Lab-1 - The first lab will begin with loading raw delimited data into DB2 Warehouse for Cloud and interacting with that data from a Jupyter notebook in Watson Studio with python.

2. Lab-2 - The second lab will leverage Spark machine learning (SparkML) on the loaded data to create categorical predictions using pyspark and a supervised learning model and store the results back to the database.

3. Lab-3 - The third lab will guide participants in creating an R notebook and Shiny UI in Watson Studio using RStudio.

4. Lab-4 - Time permitting there will be two labs to choose from for Lab 4. The first one features Watson Machine Learning, a point and click capability to build a machine learning model and deploy it. The second lab features SPSS - a visual programming tool to create a machine learning pipeline.

Instructions:

Step 1. Sign up for IBM Watson Studio. We recommend using the Firefox browser.

NOTE: If you already have a Watson Studio account, please skip to Step 2.

Create an account.

1. Go to http://datascience.ibm.com/

2. Click the signup button on the top right

3. Enter your email, click to accept the terms, and click Next. Note: If you already have an IBM id you can click Sign in with your IBM id -- if you don't have a Watson Studio account one will be created for you.

4. On the next page, fill in the corresponding fields and click Create Account

5. You will see the following screen. You need to go to your e-mail account to complete the sign up process.

6. In your e-mail inbox, there should be a message from IBM Cloud.

7. Open the e-mail and click on Confirm Account.

8. Go back to the Watson Studio session, and enter your Watson Studio user id (e-mail account) and click Continue. Or, skip to step 10 if the system automatically logs you in.

9. Enter your password and click Sign in.

10. Select the defaults which should be IBM Cloud Account (IBM), organization (your e-mail), and space (dev) and click Continue.

11. It may take several minutes to set up the account. You will see several screens pop-up (e.g. Registering User, Initializing Environment). Wait until you see the following screen and then click on Get Started.

You are now in the Watson Studio landing page. From here you can explore any of the tutorials, videos, sample notebooks, tutorials or articles in the community.

Step 2. Create a project

1. Click on Projects > View All Projects to see a list of your projects.

2. If you just signed up, you will not have any projects. Click on the New Project button.

3. Type a Name for your project. For instance, "Watson Studio Labs" and optionally a Description. Then select the Add link to select a Storage Service.

4. Select the Lite Plan and press Create.

5. Change the Name if desired and press Confirm

6. Return to the New Project page, and click Refresh in the Object Storage section. Your project should now appear similar to the following image. Press Create to finalize project creation.

7. The project overview page appears. You are now in your new project where you can create notebooks, add data assets, and add collaborators.

8. Now create a Spark Service. Change the tab to the Settings section

9. Scroll to Associated Services and select Spark

10. Select the Lite (free) plan and select Create

11. Set the Spark service name if you wish and select Confirm

12. Scroll to Associated Services and select Machine Learning

13. Select the Lite (free) plan and select Create

14. Set the Machine Learning service name if you wish and select Confirm

15. Return to the Assets page. You are now in your new project where you can create notebooks, add data assets, and add collaborators.

You are now ready to begin Lab-1.