Seminar - Cegos Integrata GmbH
Overview
The focus of this course is on the tools and services available in IBM Watson Studio that can be used to build, test, and deploy machine learning models on Cloud Pak for Data V4.8. It takes the data scientist or business analyst on a journey from the creation of several machine learning models to its deployment and testing. Various tools and services, as well as programming and graphical user interfaces, are used in the process. The course ends with the sharing of assets on GitHub, and a brief discussion on governance and stewardship.
| Termin | Ort | Preis* |
|---|---|---|
| firmenintern | auf Anfrage | auf Anfrage |
Course Outline
Introduction
Rapid prototyping with AutoAI
Creating, testing, and deploying machine learning models
Governance, integration, and collaboration
Objective
Prerequisites
Before taking this course, you should have:
Audience
The course is designed for Data Scientists and Business Analysts. It caters to aspiring or practicing Data Scientists, and Business Analysts with prior knowledge of Data Science and Machine Learning, but lacking familiarity with IBM tools and IBM Watson. Rather than teaching data science and machine learning, the course focuses on demonstrating how IBM Watson tools and services can address significant business challenges, targeting professionals at the associate level and beyond.
