Graphically build and evaluate machine learning models Using SPSS (Advanced)
03:15 - 04:30
Mostafa Abdelaleeem & Mridul Bhandari /
Artificial intelligence (AI) is modernizing the world and changing the shape of every industry. It’s a disruptive technology that’s all around us in different applications.In this workshop we will explains how to graphically build and evaluate machine learning models by using the SPSS Modeler flow feature in IBM® Watson™ Studio. IBM Watson SPSS Modeler flows in Watson Studio provide an interactive environment for quickly building machine learning pipelines that flow data from ingestion to transformation to model building and evaluation, without needing any code. This tutorial introduces the SPSS Modeler components and explains how you can use them to build, test, evaluate, and deploy models. you only need to bring your laptop, everything else will be provided
What will you learn?
How to create an SPSS Modeler flow
How to use the SPSS tool to profile and analyze data
How to train a machine learning model with SPSS and evaluate the results
Who should attend?
All Developers interested in AI and data science are welcome to attend the webinar!