Python – Felix Augenstein

deploy-and-monitor-machine-learning-models-trustworthy-ai

March 25, 2022March 25, 2022Cloud Pak for Data, IBM Watson, OpenScale, Python, REST APIs, Trustworthy AI, Watson Studio

Accelerate your Automation, Data & AI Journey – Deploy and monitor your Machine Learning models (Trustworthy AI)

Build trust when you deploy your Machine Learning model. What will you learn? In this hands-on session, learn how to deploy your previously developed ML models with a customizable Python App as a user interface. We will also monitor if the models become less accurate over time or if they […]

March 25, 2022AutoAI, Cloud Pak for Data, Cognos, IBM Watson, Jupyter Notebook, Python, SPSS Modeler, Watson Studio

Accelerate your Automation, Data & AI Journey – Build your first Machine Learning model and get started with Data Science

In this hands-on workshop we take a look behind the buzzwords: Machine Learning & Data Science.🎓 What will you learn? The difference between AI and ML The different types of Machine Learning How to structure Data Science projects We will develop a Machine Learning model to predict customer churn with […]

July 16, 2021Application, IBM Watson, Python, REST APIs, Watson Studio

Deploy a local Python App to test your machine learning models for instance to predict customer churn

In this hands-on tutorial you will deploy a local Python app to test your model. If you don’t have one already, please Sign up for an IBM Cloud account. This tutorial consists of 6 parts, you can start with part I or any other part, however, the necessary environment is […]