Seats left: 48
DataOps with Watson Studio's AutoAI and Watson Machine Learning on IBM Cloud
AutoAI and Watson Machine Learning provide automated machine learning pipeline composition and deployment. These two features are part of IBM Watson Studio's DataOps services. This remote webinar with demo and hands-on labs will give the participant an understanding and practical experience for the DataOps capabilities provided by AutoAI and WML.
Date: April 23 from 10:00 to 13:00 Central European Time
Workshop format: this is a technical workshop with presentations, demos and hands-on exercises.
Audience: data practitioners, data scientists, Technical IT professionals, IT architects.
- have your IBM Cloud account. If you don't have it yet, you can create it for free at ibm.biz/cloud-4-dev
- you will use your laptops to view presentations, demos and perform exercises
- some familiarity with data management is helpful but not mandatory
Location: this is an online workshop. Participants and instructors will communicate via WebEx video conference.
Registration: to register at this workshop, you must be logged in at this web site using the menu option Login. If you don't have a user ID at this web site yet, create it by clicking on Login, then Sign up (link at the bottom), then check your mailbox to verify your new user ID. Then return to this page and register to the workshop by clicking the Register button at the bottom. You can always see the workshops you are registered at, using the menu option My events. Your registration is confirmed when you receive an e-mail with the link to the WebEx video conference. This confirmation e-mail will be sent at least three days before the workshop or earlier.
Price: this workshop is free of charge for all who register at this web site.
After a refresher on DataOps and machine learning techniques, we will show how AutoAI enables a 'Citizen Data Scientist' to easily create and deploy a prediction pipeline with a low-code/no-code paradigm.
We will also explore the latest more advanced features of AutoAI such as multi-pipeline exploration and notebook export.
In the hands-on labs, conducted in IBM Cloud, participants will exercise AutoAI on classical machine learning classification and regression use cases. A more advanced section will follow, showing how to use the AutoAI-generated sklearn notebook and model.
Please Login to register in this event!