Are you interested in understanding Data Science, Artificial Intelligence and Machine Learning?

After having defined the concepts, you will be introduced to the IBM suite of Cloud services available for this field.

The second part of the presentation will be a hands-on workshop, where we will be creating a predictive model with SPSS modeler for patient data, to predict what is the best drug to prescribe for a patient, given different health metrics.

Time and systems permitting, we will be deploying the model to a Streaming Analytics flow to do real time predictions.

Participants will get a good basis for both AI, Machine Learning and also relevant IBM Cloud services in conjunction with IBM's AI IDE, Watson Studio.

In this hands-on workshop developers will learn:

Learning about predicting capability in Watson Machine Learning

Creating and reviewing ML models (C5.0 decision tree)

Any person interested in Data Science and in particular, Machine Learning.

Please do the following before the workshop:

Sign-up for IBM Cloud account: https://ibm.biz/BdqyNZ

It is advisable to have some exposure to statistical concepts.

Python programming is not necessary, but welcome

Viktor Kaznovsky, IBM Developer Advocate, https://www.linkedin.com/in/victor-kaznovsky-b325203b/

Data Science w/ Watson Studio, Watson ML, and SPSS Modeler